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About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. The Thermal Systems team supports thermal testing, characterization, and prototyping in the development of Lucid products. R&D technicians partner with engineers to fabricate hardware, build harnesses and test benches, instrument benches and prototype vehicles, and capture reliable, traceable data in a safe, ready-to-use laboratory.   Role:   As a Thermal Laboratory Technician, you will support thermal testing, characterization, and prototyping through builds, instrumentation, test execution, troubleshooting, and prototype-vehicle work. Independently complete moderately difficult assignments with little daily instruction and general guidance on new work. Engineering retains test objectives and design decisions; this technician role turns that intent into safe, repeatable lab execution and reliable evidence. Success in the first year means reliable standard builds and tests with minimal supervision, high first-pass setup success, low rework, current calibration records, and traceable data. We encourage candidates who may not meet all listed requirements but can demonstrate a strong ability to learn quickly on the job to apply.   Build and Integration: Independently fabricate, build, and rework standard prototype harnesses, metal and piping assemblies, test benches, fixtures, and breakout interfaces to drawings; perform mechanical/electrical integration and pre-energizing checks.   Instrumentation and Calibration: Install, configure, and validate sensors; set up DAQ channels, scaling, and signal conditioning; maintain calibration records and troubleshoot common signal-quality issues.   Test Execution and Data Quality: Independently execute test procedures with safe power-up, pre-test and post-test checks, traceable data, and run logs; perform first-pass data sanity checks and flag anomalies quickly.   Structured Troubleshooting: Resolve common bench, harness, sensor, and test-article issues using fault isolation, swap testing, multimeters, oscilloscopes, power supplies, and load banks; verify fixes by retest.   Prototype Vehicle Support: Diagnose, maintain, and repair prototype vehicles and bench systems; instrument vehicles for engineering tests and provide field support during test trips.   Safety and Documentation: Follow and reinforce lab safety, LOTO/energy-isolation, PPE, and special-handling procedures; maintain build records, redlines, BOM updates, as-built status, bench change logs, safe cable routing, labeling, and housekeeping.   Team and Lab Operations: Partner with engineers to turn test intent into executable builds and tests, order essential supplies, maintain lab equipment, and provide clear handoffs.     Qualifications : Proficiency with fabrication tools and machinery and with blueprints, schematics, wiring diagrams, and technical drawings.   Hands-on experience building or reworking harnesses, test benches, fixtures, or prototype vehicle systems with strong workmanship.   Ability to install and validate sensors, configure DAQ channels, and use multimeters, oscilloscopes, and power supplies to resolve common issues.   Ability to independently execute test procedures under an engineer's direction with safe power-up, accurate records, and clear deviation reporting.   Working knowledge of lab safety practices, including energy isolation and PPE, and clear communication with engineers.   Preferred: Data acquisition and test tools such as NI DAQ, Vector tools, Dewesoft, LabVIEW, and CANalyzer, plus familiarity with LIN and CAN.   Thermal measurement with temperature sensors, pressure transducers, and flow meters; basic thermal engineering principles; and hands-on refrigeration systems and equipment experience.   Experience following battery, high-voltage, or chemical handling procedures in an R&D laboratory.   Experience with structured problem-solving and continuous-improvement methods such as 5 Why, fault-isolation trees, and kaizen.   Manager-supplied preferred education/experience: Automotive Technology degree or experience, ASE certification, or an AS/AA with 3+ years of related experience. This is a preference, not a mandatory degree or a substitute for level-specific scope.   Physical Requirements   Shop and Field Work: Handle materials and perform fabrication, vehicle, and test work in shop or field environments. The manager and HR must define essential lifting/material-handling demands and applicable accommodations before posting.   Work Requirement   Laboratory, shop, prototype-vehicle, and field work. The manager requests domestic and international travel, driving prototype vehicles, handoffs between shifts or technicians, and availability for overtime and weekend work as needed. Confirm site, shift structure, travel frequency, driving authorization, schedule, and applicable overtime arrangements before posting.         At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (hourly) $40 — $56 USD Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. As the Senior Partner Manager for APAC, you will own and execute Algolia's partner strategy across the region, with a priority focus on Australia, New Zealand, Singapore and South East Asia. This is a technical partnership role: you'll work with consulting partners, systems integrators, technology partners and cloud partners to embed Algolia into new multi-technology solutions. Increasingly, that means advocating for Algolia to be built into the agentic accelerators our SI partners are building — AI-driven solution patterns developed in collaboration with Algolia and our technology partners. This is not a solutions engineering role — you won't be architecting or implementing client solutions. But it is a solutions-focused role: you need real technical fluency, and the ability to inspire partners and customers on the art of the possible with Algolia. In practice, that means identifying and shaping three kinds of agentic solutions: those that combine Algolia with one or more of our technology partners; those built by our consulting partners and brought to market by them; and those built jointly with technology partners around a shared value proposition that delivers real value to customers and end users. Pipeline development, opportunity progression and customer wins all matter — but they all start with getting the innovation right, with Algolia at the center of it. Reporting to the Head of Global Partnerships, and working in close collaboration with the General Manager of APAC, you will develop and execute the regional partner strategy — deciding which consulting, systems integration, technology and cloud partners to prioritize, and building the technical and commercial motions that turn those relationships into pipeline and revenue. YOUR ROLE WILL CONSIST OF: Developing and executing Algolia's partner strategy across APAC, with priority focus on Australia, New Zealand, Singapore and South East Asia Building and managing a portfolio of consulting partners, systems integrators, technology partners and cloud partners (e.g., AWS, Microsoft Azure) across the region Identifying, recruiting and onboarding new partners into the Algolia Partner Program, with particular attention to partners building agentic and AI-driven solutions Shaping and championing agentic solutions that combine Algolia with one or more of our technology partners Working with consulting partners to help them build their own agentic solutions on Algolia and bring those solutions to market Developing joint value propositions with technology partners for agentic solutions that deliver real value to customers and end users Acting as a solutions-focused innovator who can inspire partners and customers on the art of the possible with Algolia Developing a working technical understanding of partner architectures and solutions deep enough to guide partners on where and how Algolia fits — without owning implementation Enabling partners on Algolia's product and technical capabilities so they can position, sell and deliver successfully Owning deal registration, pursuit prioritization and account mapping across the partner portfolio Coordinating go-to-market strategy with partners, including joint marketing, co-selling and technical enablement content Coordinating across partners, internal sales and solutions engineering teams on strategic client pursuits Collaborating closely with the APAC General Manager and regional sales leadership to align partner strategy with revenue goals Collaborating with Algolia Sales, Marketing, Engineering, Product and Enablement teams to ensure partner and end client success Owning pipeline creation and data accuracy for the APAC partner portfolio, with reporting to the Head of Global Partnerships — recognizing that strong pipeline, opportunity progression and customer wins all start with the right solution innovation involving Algolia YOU MIGHT BE A FIT IF YOU HAVE: 7-10+ years of experience in a senior Alliance, Channel or Partner role, ideally with technology, cloud or systems integration partners, in a recurring revenue business model Strong technical fluency — comfortable discussing APIs, search/AI architecture, cloud infrastructure and how multiple technologies combine into a single solution, without being a hands-on engineer Familiarity with the emerging landscape of agentic AI and the accelerator programs being built by systems integrators and technology partners Experience working with cloud partners (AWS, Microsoft Azure) and/or major systems integrators (e.g., Accenture, Cognizant, Publicis Groupe, Valtech) Business-side understanding of SaaS software, search/AI, headless commerce and API-first architectures A track record of developing and executing regional partner strategy, ideally across Australia, New Zealand, Singapore and South East Asia Salesforce.com experience creating and managing opportunities through the sales cycle, with high attention to data accuracy and quality Excellent communicator, writer and storyteller, with a strong ability to influence both technical and business stakeholders A history of developing and nurturing long-term industry and partner relationships A history of becoming a trusted advisor to partners, clients and internal stakeholders, including senior leadership A solutions-oriented mindset — genuinely creative and innovative, with the ability to inspire partners and customers on the art of the possible with Algolia Comfort operating with a high degree of autonomy across a large, diverse region A track record of driving joint co-selling and co-marketing activities Proven ability to lead cross-functional teams, both internally and externally #LI-Hybrid #LI-Remote Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual total cash compensation range (base salary and commission) for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. On-Target Earnings Pay Range $300,500—$375,500 AUD FLEXIBLE WORKPLACE STRATEGY: Algolia's flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual's impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. WE'RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers and to take ownership. CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY - Aptitude for learning from others, putting ego aside. We're looking for talented, passionate people to help build the world's best search and discovery technology. We value autonomy, diversity, and collaboration. We're committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background. IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice We've recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind: Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page . All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information. We'll never ask for payments, purchases, or financial details during the hiring process. READY TO APPLY? If you share our values and our enthusiasm for building the world's best search & discovery technology, we'd love to review your application!

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Add team description & check additional section requirements below You will: Develop, test, and deploy features for Waymo's next-generation offboard weather systems and infrastructure under the guidance of tech leads. Implement and maintain scalable data pipelines for weather data ingestion, processing, and storage. Contribute to the development and enhancement of real-time and forecasting weather applications. Collaborate with cross-functional engineering partners to deliver reliable, high-quality software solutions. Ensure high performance, code health, and stability for systems vital to safe fleet operations in diverse weather environments. Participate in code reviews, system design discussions, and write comprehensive technical documentation. You Have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience programming in backend coding languages. Strong foundation in computer science (data structures, algorithms, distributed systems). Excellent collaboration skills to work with cross-functional partners. We prefer: Experience in C++ Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) Experience with payments, billing, or fintech systems where correctness is non-negotiable. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $175,000 — $215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Vehicle Interaction team tackles critical autonomous driving challenges, directly responsible for modeling agent interactions with other vehicles to advance our mission of safety and building the world's most trusted driver. The team develops agent reasoning and motion planning algorithms to resolve complex interactive scenarios—including lane changes, merges, unprotected maneuvers, and cut-ins. By combining core robotics principles with scalable, production-deployed machine learning models, the team enables the Driver to safely, predictably, and seamlessly navigate dynamic real-world environments. In this hybrid role, you will report directly to the Technical Lead Manager. You will: Design, evaluate, and deploy learned interaction policies to handle complex navigation and yielding scenarios. Collaborate cross-functionally at the intersection of prediction and planning, leveraging large-scale models to solve complex agent interaction problems. Integrate learned models into closed-loop simulation environments, benchmark against rigorous safety metrics, and drive seamless transitions to production releases. Focus on high-impact product outcomes, making pragmatic engineering decisions to accelerate the shift from rule-based heuristics to scalable, data-driven policies. You have: BS in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience. 5+ years of software engineering experience developing high-performance, efficient C++ code. Hands-on experience building ML models, including expertise in learned driving policies (RL/imitation learning), PyTorch or JAX, closed-loop simulation evaluation, and a proven track record of shipping models to production. Proven capability to collaborate effectively across cross-functional engineering teams. We prefer: MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field. Demonstrated software engineering expertise in motion planning or related autonomous systems problems. Experience building, training, and benchmarking machine learning systems at scale. Technical leadership experience guiding engineers or leading small project teams. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $213,000 — $263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Safety team works to promote and help to continuously improve the safety of Waymo's fully autonomous driving technology. Our experts develop safety goals and strategies, and conduct safety engineering analyses to ensure safety is being considered throughout the design and development of our vehicles. The team develops and promotes safety strategies and policies for autonomous vehicles for its work with regulatory authorities, lawmakers, law enforcement and public and non-profit organizations. Our Safety Team also helps advise on compliance with applicable environmental, health, and safety regulations. This role follows a hybrid work schedule and reports to the Safety Management System Lead. In the Senior Safety Management System (SMS) Analytics Specialist role, you will lead how Waymo measures and reports on the performance of its Safety Management System. This role sits at the intersection of data analytics and executive governance: you will develop and synthesize reliable metrics across our safety processes, increase awareness and understanding of SMS performance data, and translate complex trends into recommendations for senior leaders. When metrics highlight areas for improvement, you will partner across teams to ensure owners are assigned and solutions deliver measurable results. In this role, your work will directly drive continual improvement across Waymo's safety programs. You will: Develop Reliable Safety Performance Indicators: Design and refine SMS implementation, maturity, and effectiveness metrics grounded in industry best practices and international safety standards, assessing and maintaining metric quality and advising teams and leaders on proper metric interpretation and use. Map & Synthesize Multi-Domain Safety Management Metrics: Collect, quality-assure, and synthesize quantitative and qualitative metrics across multiple business functions and trace them to the company's top-line safety objectives. Run SMS Performance Reporting Governance: Lead the processes and analytics workflows used to support executive leadership review of SMS performance data and aggregated trend analyses. Translate Signals into Executive Decision Material: Partner with data science, operational, and safety teams across Waymo to distill complex multi-source data into clear, decision-oriented briefings, dashboards, and continual-improvement recommendations for senior leaders. Drive Closed-Loop Action & Effectiveness Tracking: Monitor safety performance indicators against targets and thresholds; where indicators show adverse trends or fall short of targets, confirm an accountable owner is assigned and track action items through to verified closure and confirmed effectiveness. Scale Analytics Tooling & Audit Readiness: Define requirements for data collection, visualization, and reporting tools that improve the reliability and scalability of SMS performance measurement, and support preparation for domestic and international regulatory audits and evaluations.   You have: A Bachelor's degree in Data Science, Computer Science, Engineering, Economics, Statistics, or a related scientific or analytic field. Minimum 5 years of experience in data analytics, safety or operational performance measurement, or business/technical intelligence within complex engineering, financial, transportation, or safety-critical organizations. Demonstrated expertise working with both quantitative and qualitative data and metrics, including developing metrics based on industry best practices or standards, evaluating and maintaining metric quality, and advising stakeholders on metric interpretation and limitations. Proficiency with modern data analytics, visualization, and reporting tools (e.g., SQL, Python/R, BI dashboards, and data pipelines) to collect, validate, and communicate performance data to executive leadership and governance committees. Proven ability to pull together and synthesize disparate metrics to drive continual improvement and verify the effectiveness of corrective actions. Strong cross-functional collaboration and communication skills, with experience translating complex technical and operational signals into clear, actionable narratives for senior decision-makers without direct authority.   We prefer: An advanced degree (Master's or PhD) in Data Science, Computer Science, Engineering, Economics, Statistics, or a related scientific or analytic discipline. Hands-on familiarity with automotive, transportation, or aviation Safety Management System frameworks and safety performance indicators. Direct experience interpreting and implementing safety performance measurement requirements from vehicle, transportation, or aviation safety regulations and standards. Experience leveraging Artificial Intelligence (AI) / Large Language Model (LLM) workflows or automated data pipelines to synthesize qualitative and quantitative safety signals, detect emerging trends, and streamline executive reporting. Experience designing and running closed-loop performance governance processes, including threshold alerting, root-cause and CAPA tracking, and statistical or empirical verification of mitigation effectiveness. Experience partnering with software/data engineering teams to define data schemas and business requirements for scalable internal analytics and reporting platforms.   Travel Requirements: This is a hybrid position based in San Francisco or Mountain View. Travel is required (approximately 10%) for team onsites, cross-functional workshops, and project-based activities such as internal or external safety audits. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $168,000 — $207,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.  The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers to help us improve how we analyze and evaluate changes to the Onboard software stack (Planner, Perception, etc) and help us build the data platform and infrastructure to support ML launch evals for the Waymo Driver. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Develop data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete Collaborate cross-functionally with Data Science and Quantitative Analytics teams to build data infrastructure solutions   You have: Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale Programming Languages: Proficiency in C++ or Python within a production environment Communication: Strong technical communication and collaboration skills   We prefer: Experience with A/B experiment infrastructure Exposure to ad-hoc data analysis utilizing SQL Prior experience working within the autonomous vehicle (AV) industry General Perks Help solve challenging problems with a direct impact on the company Competitive compensation packages with a housing/relocation bonus (if applicable) Medical, dental, and vision insurance Fun intern events and networking opportunities   Onsite Perks (These perks will only be applicable if the internship is on site) Free breakfast, lunch, dinner, and snacks  Free access to Google shuttles Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.  You'll be joining the team that leads the end-to-end integration and evaluation of the Waymo ML Data Flywheel. We work with all stages of the system, from data mining to eval model training to improve the way Waymo develops the Waymo Driver. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Develop and scale ML pipelines to process telemetry data to discover rare driving interactions Benchmark and validate candidate findings to separate meaningful patterns from noise Integrate pipelines to turn discovered patterns into concrete, testable artifacts to verify system improvements   You have: Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field Strong software engineering skills in Python and/or C++, with experience writing clean, maintainable, and well-tested code Demonstrated experience building and operating data or ML pipelines on large-scale datasets (beyond single-machine or notebook prototypes) Solid foundational understanding of applied machine learning, statistics, and evaluation methodology (e.g., clustering, anomaly detection, ranking, or metric design)   We prefer: Experience working with distributed compute systems, data processing frameworks, or large-scale data lakes (e.g., Apache Spark, Beam/Dataflow, Ray, or internal equivalents) Experience with unsupervised learning, outlier/anomaly detection, multimodal embeddings, or LLM/VLM-based evaluation and data filtering Track record of taking ambiguous, open-ended problem statements and turning them into practical, working software systems Prior research or project experience in autonomous driving, robotics, or spatial-temporal data analysis General Perks Help solve challenging problems with a direct impact on the company Competitive compensation packages with a housing/relocation bonus (if applicable) Medical, dental, and vision insurance Fun intern events and networking opportunities   Onsite Perks (These perks will only be applicable if the internship is on site) Free breakfast, lunch, dinner, and snacks  Free access to Google shuttles Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

ABOUT THE ROLE We're looking for a hands-on technical leader who can strategically evaluate, architect, and build SaaS solutions. You'll be the critical decision-maker between building custom capabilities and integrating third-party platforms, while having the technical depth to implement either path. This role combines strategic thinking, vendor evaluation, hands-on development, and technical leadership. Your decisions will shape our technology stack, influence $X M+ in annual technology spend, and directly impact our ability to scale and compete. YOUR DAILY IMPACT AT PELOTON                                              Lead technical evaluation of SaaS vendors against business requirements      Conduct proof-of-concept implementations with vendor platforms               Assess vendor architecture, security posture, API capabilities, and scalability                                                                    Build detailed TCO models comparing build vs buy scenarios                   Present recommendations to engineering and business leadership with clear trade-off analysis                                                                                                                   Define evaluation frameworks and decision criteria for SaaS adoption         Maintain architecture principles and standards for third-party integrations  Monitor emerging SaaS trends and identify optimization opportunities         Evaluate vendor lock-in risks and plan mitigation strategies                 Conduct quarterly reviews of existing SaaS portfolio for optimization Design and implement SaaS features when build decisions are made             Develop integrations between internal systems and third-party platforms      Build abstractions and middleware to prevent vendor lock-in                Create internal tools and automation for SaaS management                     Implement authentication, authorization, and data synchronization layers Write production-quality code across the stack                               Lead architecture reviews and design discussions                             Mentor engineers on integration patterns and best practices                Establish coding standards for SaaS integrations                             Drive technical excellence through code reviews and pairing                  Serve as primary technical contact with SaaS vendors                         Negotiate technical requirements and SLAs with vendors                       Review and approve vendor security and compliance documentation              Lead vendor technical escalations and incident response                      Build relationships with vendor engineering teams for partnership opportunities                                                                  YOU BRING TO PELOTON                                                       8+ years of hands-on software engineering experience                         Expert-level proficiency in at least one language: Python, Go, Java, or Node.js                                                                      Strong full-stack capabilities (both backend and frontend)                   Production experience with cloud platforms (AWS, GCP, or Azure)            Deep understanding of API design (REST, GraphQL, webhooks) Extensive experience integrating with enterprise SaaS platforms (Salesforce,Workday, ServiceNow, etc.) Hands-on with authentication protocols: OAuth 2.0, SAML, OIDC Experience with iPaaS platforms: Zapier, Workato, MuleSoft, or similar Understanding of multi-tenancy, data isolation, and SaaS architecture patterns Familiarity with API gateways, rate limiting, and webhook architectures      Experience with containerization (Docker) and orchestration (Kubernetes)     Infrastructure as Code (Terraform, CloudFormation, or Pulumi)                CI/CD pipelines and automated testing                                        Observability tools (DataDog, New Relic, Grafana, or similar) Database design (SQL and NoSQL)                                              Data modeling and ETL/ELT patterns                                           Security best practices: encryption, key management, secrets handling        Understanding of compliance frameworks (SOC 2, GDPR, HIPAA) Proven track record of making successful build vs buy decisions              Experience conducting vendor evaluations and technical due diligence         Ability to build financial models (TCO, ROI analysis)                        Strong written and verbal communication skills for executive audiences       Experience translating business requirements into technical solutions        Ability to influence without authority across engineering and business teams Experience mentoring and growing engineering talent                        Track record of driving consensus in ambiguous situations                    Comfortable presenting to C-level stakeholders                                                                                                             Experience in a hypergrowth startup or scaling environment (10 → 500+ employees)                                                                     Built or contributed to a SaaS product as engineer #1-10                   Prior experience as a technical founder or architect role                    Open source contributions or technical blog/speaking experience              Familiarity with contract negotiation and procurement processes              Experience with FinOps and cloud cost optimization                           Knowledge of integration security standards (OWASP API Security)             #LI-DD1 #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: Medical, dental and vision insurance  Generous paid time off policy Short-term and long-term disability Access to mental health services 401k, tuition reimbursement and student loan paydown plans Employee Stock Purchase Plan Fertility and adoption support and up to 18 weeks of paid parental leave  Child care and family care discounts Free access to Peloton Digital App and apparel and product discounts Commuter benefits and Citi Bike Discount Pet insurance and so much more! Base Salary Range $215,029 — $252,659 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com . At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

ABOUT THE ROLE This role will be eligible to participate in the monthly commission compensation plan As a Senior Peloton Expert, you are a full-time, top-performing sales professional and floor leader. Reporting to the Store Manager, you set the pace for the team in a high-energy, commission-driven environment. You excel at individual sales, proactive lead generation, and CRM management, while also stepping up to coach peers and oversee operations in the Store Manager's absence. You act as the benchmark for excellence in the store, driving revenue while delivering a premium, high-touch Member experience. YOUR DAILY IMPACT AT PELOTON Consistently meet and exceed individual monthly sales targets and commission accelerators Proactively engage walk-by traffic and educate customers on the Peloton portfolio to overcome objections and close sales Assist the Store Manager with total-store CRM management auditing leads to maximize the team's conversion rates Act as the designated floor lead, providing in-the-moment coaching to Experts and ensuring seamless operations when the Store Manager is absent Facilitate engaging, hands-on product demonstrations that build customer confidence in Represent the brand with absolute integrity, delivering honest expectations to build long-term loyalty Contribute to essential daily operations, including inventory management, visual merchandising, and event setup YOU BRING TO PELOTON 2+ years of retail sales experience, ideally in a premium or commission-based environment with a history of exceeding targets Proven ability to mentor peers, lead by example, and set the pace on a sales floor without formal management authority Highly organized with experience managing a book of business and auditing leads within a CRM platform Passion for health and wellness PHYSICAL REQUIREMENTS  This is an active position requiring long periods of standing and walking in the store, as well as bending and lifting items weighing 35 lbs or more. You must be able to physically demonstrate Peloton products and engage with customers during in-store trials. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. this role is in Schaumburg, IL 60173 at Woodfield Mall #LI-CM1 #LI-Onsite   The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives, and if the location for the job changes. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: Medical, dental and vision insurance  Generous paid time off policy Short-term and long-term disability Access to mental health services 401k, tuition reimbursement and student loan paydown plans Employee Stock Purchase Plan Fertility and adoption support and up to 18 weeks of paid parental leave  Child care and family care discounts Free access to Peloton Digital App and apparel and product discounts Commuter benefits and Citi Bike Discount Pet insurance and so much more! Hourly Pay Rate $21 — $21 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com . At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

ABOUT THE ROLE Peloton Studios delivers both a broad offering of highly engaging subscription content and world-class member classes, events and activations to our members. We are looking for passionate, customer service-driven individuals to ensure an outstanding experience throughout the entire member journey when visiting our studios. This person should excel working in a fast paced environment, is organized, a self starter with the ability to work well with others and contribute to a welcoming and inclusive workplace. This is a great opportunity for someone who is motivated, strives to go above and beyond, and is able to deliver the highest level of member experience. YOUR DAILY IMPACT AT PELOTON Provide the highest level of customer service and experience to members, prospective members, and guests when they arrive and whilst they are within the studio Appropriately address member feedback and queries in person,or email with a professional and friendly demeanor. These should be answered in a timely manner and with the highest level of professionalism Effectively book, cancel and reschedule live productions for members through TeamUp, our reservation system, assisting them with any account related issues Perform check in duties prior to live production, ensuring members and guests are aware of and adhering to studio rules, waivers and terms and conditions Ensure class occupancy levels are adhered to, working to ensure all live studio spots are filled prior to and day of class by managing day-of standby and waitlists. Ensure the energy of the studio experience is optimal, supporting the wider production teams with audience placement and participation Provide studio tours to members participating in live class experiences Create and prepare swag bags and assist with surprise & delight moments Assist in post class meet & greets; taking, uploading and sending photos to guests and members Celebrate member moments such as birthdays or milestones. Become proficient in all systems across our reservation system, email provider, sms, g-suite, slack. Perform any miscellaneous administrative tasks, including studio logs, trackers, etc. Working cohesively with other studio departments to ensure a streamlined production experience Maintain product knowledge and keep updated about the brand Be flexible to support in any additional studio activations or duties outside of our member class offering, including but not limited to event support, group and corporate bookings. YOU BRING TO PELOTON Must have experience in customer service/hospitality industry Preferably interested in health, fitness, and/or sports Must be reliable, professional, energetic, friendly, and computer literate Must be friendly and outgoing Ability to effectively communicate in person, via email, and via phone Must have a friendly and professional phone and email etiquette Must have excellent communication skills Able to prioritize and multi-task within a fast-paced environment Must be willing to initiate tasks and perform duties without direction Must have outstanding customer service and problem-solving skills Must have a positive, can-do mentality Ability to work in a fast-paced environment Ability to work a flexible schedule that includes weekends, holidays, early morning (5AM) and late evening (10PM), adapting to meet the needs of the business Peloton Studios requires at minimum 3 days of availability for part time employees, including Friday, Saturday and Sunday #LI-CM1 #LI-Onsite The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives, and if the location for the job changes. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: Medical, dental and vision insurance  Generous paid time off policy Short-term and long-term disability Access to mental health services 401k, tuition reimbursement and student loan paydown plans Employee Stock Purchase Plan Fertility and adoption support and up to 18 weeks of paid parental leave  Child care and family care discounts Free access to Peloton Digital App and apparel and product discounts Commuter benefits and Citi Bike Discount Pet insurance and so much more! Hourly Pay Rate $21 — $21 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com . At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in Canada. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player:  Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win – together. In this role, you will:   Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $110,500 — $143,000 CAD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers.  Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player:  Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win – together. In this role, you will:   Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $99,365 — $167,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .