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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. Position Overview Sr. Mechanical Engineer, E-Motor/ Inverter is responsible for design intent assembly requirements of E-Motor, Inverter Assemblies, & associated test specifications. Responsible for root cause analysis of product issues, interim containment action development/verification/implementation, & permanent corrective action development/verification/implementation where applicable with close collaboration with core engineering to ensure design intent & validation requirements are met.   Key Responsibilities   Work closely with Manufacturing cross-functional teams to champion pending product issues/test specification related issues to resolution   Solve complex component/system level product or multi-variable issues using standard problem-solving techniques pertaining to E-Motor & Inverter assemblies   Lead product change management to address known product compatibility issues for high volume production or known product design issues in production in close collaboration with cross-functional teams where appropriate   Responsible for design intent assembly requirements for E-Motor/Inverter assembly & associated enforcement on the line in close collaboration with cross-functional teams   Responsible for product level risk assessments due to un-intended process, equipment, & part deviations   Product engineering representative in the plant for E-Motor & Inverter Mechanical subsystems   Data driven proactive problem solving, root cause analysis & issue avoidance due to process deviations or critical part quality issues    Support new product launches, execute part concession deviations for E-Motor & Inverter assembl ies in the manufacturing plant without compromising design intent of the product   Support high volume production ramp activities pertaining to product engineering    Advice on build process development and possible improvements for high volume production lines to ensure variation in process within acceptable tolerance limits of design intent Skills Experience in product problem solving using industry standard techniques   Excellent in data analysis using statistics Minitab or JMP, Python, MATLAB   Prior experience working in resident product engineering roles in the plant   Prior experience with E-Motor Assemblies, Inverter assemblies, & associated troubleshooting   Technical depth in electric motor gearbox assemblies (Castings, Oil cooling systems, Planetary gear trains, static/dynamic seals, stator, rotors, half-shafts, & Inverter Power Electronics HW Interface) & associated troubleshooting is required   Experience in product development or improvement of E-Motor/Inverter Assemblies   Experience in using DFMEA, PFMEA, Control Plan, DVP&R, DFM/DFA, & RCA with cross-functional teams   Exceptional communication and documentation skills are required using Atlassian products.   Requires proficiency in Catia or 3DX, Stack up analysis (2D & 3D), SQL, JMP etc.,)   Six Sigma Green / Black belt certification.   Experience with Atlassian products like Jira and Confluence.   Engineering-in-Training (EIT) or certification in engineering fundamentals.   Collegiate FSAE/BAJA/Similar experience is preferred Minimum Qualifications BS in Mechanical or Automotive Engineering disciplines with 8+ years of automotive experience in design and release of vehicle attributes or master's degree in mechanical or automotive disciplines with 6+ years of automotive experience in design & release of vehicle attributes   Experience in product problem solving using industry standard techniques   Prior experience working in resident product engineering roles in the plant   Prior experience with E-Motor Assemblies, Inverter assemblies, & associated troubleshooting   Technical depth in electric motor gearbox assemblies (Castings, Oil cooling systems, Planetary gear trains, static/dynamic seals, stator, rotors, half-shafts, & Power Electronics HW Interface) & associated troubleshooting is required   Experience in product development or improvement of E-Motor/Inverter Assemblies   Exceptional communication and documentation skills are required   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.    

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. At Lucid, safety is foundational to the development and deployment of automated driving technologies. Our Primary Safety Homologation team is responsible for ensuring that autonomous driving systems are supported by robust safety arguments, evidence-based decision making, and effective engagement with regulators and technical assessment bodies worldwide.   We are seeking a Technical Specialist or Senior Homologation Engineer, ADS Safety Assurance and Regulatory Strategy to play a key role in evaluating, challenging, and strengthening the safety case for Level 3 and Level 4 Automated Driving Systems (ADS). This position requires a highly motivated individual with expertise in safety engineering, regulatory compliance, functional safety, and autonomous vehicle technologies.   The successful candidate will work across engineering, safety, validation, legal, policy, and product development teams to help ensure that Lucid's ADS products are supported by defensible, audit-ready safety arguments suitable for regulatory assessment, deployment approvals, and commercialization. This role provides a unique opportunity to influence the future of autonomous vehicle safety while engaging with a broad range of engineering disciplines and external stakeholders.   About the Role   Reporting to the Primary Safety Homologation Manager, you will be responsible for independently reviewing and assessing ADS safety cases, supporting the development of defensible safety arguments, and representing Lucid in technical engagements with regulators, governmental agencies, technical services, and approval authorities worldwide. T he ideal candidate will possess a strong understanding of safety case methodologies, Functional Safety (ISO 26262), SOTIF (ISO 21448), Safety Management Systems (SMS), and emerging global regulatory frameworks for automated driving systems. This individual will help ensure that safety evidence, organizational processes, and governance structures collectively support the safe deployment and regulatory acceptance of ADS technologies.   What You Own     ADS Safety Assurance and Safety Case Review and Evidence Management   Lead independent technical review and assessment of ADS safety cases for Level 3 and Level 4 automated driving systems.   Collaborate with safety case developers, system engineers, and cross functional engineering teams to strengthen safety arguments and identify gaps, assumptions, weaknesses, or areas requiring additional validation.   Ensure safety claims are supported by objective, traceable, and defensible evidence generated from simulation, software verification, closed-course testing, real-world testing, operational experience, and field performance data.   Challenge and validate the completeness, consistency, technical rigor, and regulatory adequacy of safety arguments prior to internal approval and external submission.   Coordinate the collection, review, and integration of safety evidence across systems engineering, validation, Functional Safety, SOTIF, cybersecurity, and operational safety teams.   Establish and maintain an effective framework for evidence traceability, configuration management, document control, and lifecycle management of safety artifacts.   Review the impact of software updates, hardware modifications, feature enhancements, operational changes, and ODD expansions on the validity of the safety case throughout the product lifecycle.   Drive closure of safety case findings and recommendations through cross-functional collaboration.   Develop and improve safety assurance methodologies, review processes, templates, and best practices that enable consistent and repeatable safety assessments.   Ensure safety artifacts, supporting evidence, and safety arguments remain audit-ready and aligned with evolving regulatory expectations and industry best practices.     Regulatory Strategy and Authority Engagement   Serve as Lucid's safety assurance technical representative in discussions with regulatory agencies, approval authorities, technical services, and governmental organizations worldwide.   Develop strategies for demonstrating safety and achieving regulatory acceptance of ADS technologies across global markets.   Prepare and present safety case materials for regulatory submissions, technical reviews, audits, governmental assessments, and approval processes.   Lead technical discussions regarding safety performance, risk management strategies, validation approaches, and supporting safety evidence.   Respond to technical questions, review comments, and regulatory feedback using rigorous engineering data and structured safety arguments.   Monitor and assess emerging ADS regulations, guidance documents, and industry best practices, translating them into actionable engineering and compliance requirements.   Support development of regulatory positions and technical responses related to autonomous vehicle deployment and safety demonstrations.     Functional Safety and SOTIF Assurance   Support Functional Safety (ISO 26262) and SOTIF (ISO 21448) assurance activities across Lucid's portfolio of safety-critical systems.   Review Functional Safety and SOTIF work products to ensure they effectively support broader safety assurance objectives and regulatory expectations.   Support safety assessments and audit readiness for foundational electronically controlled vehicle systems, including braking, steering, propulsion, power distribution, and other safety-related vehicle controls.   Support safety assurance activities for advanced driver assistance systems, including features such as Automatic Emergency Braking (AEB), Emergency Lane Keeping Systems (ELKS) and other active safety technologies.   Support Functional Safety and SOTIF reviews for Level 2, Level 2+, and Level 2++ driving automation features and their associated system architectures.   Collaborate with Functional Safety, SOTIF, Systems Engineering, Validation, Active Safety, and ADS development teams to ensure safety artifacts are complete, traceable, technically sound, and audit-ready.     Audit and Assessment Readiness   Support internal, external, regulatory, and third-party audits related to ADS safety, Functional Safety, SOTIF, Safety Management Systems, and organizational safety processes.   Coordinate preparation of technical evidence packages, presentations, responses, and supporting documentation for assessments and audits.   Ensure safety case documentation, governance processes, and supporting records remain inspection-ready throughout the product lifecycle.   Support closure of audit findings, corrective actions, and continuous improvement initiatives.   Contribute to organizational readiness for future regulatory assessments, conformity evaluations, and deployment approvals.     What You Bring   Minimum Qualification s   Bachelor's degree in Mechanical engineering, Electrical Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, or a related technical field. 5+ years of experience in automotive engineering, autonomous driving systems, functional safety, product safety, homologation, regulatory compliance, or related fields. Strong knowledge of ISO 26262, ISO 21448, UL 4600, ISO 34502, and Safety Management System principles Experience developing, reviewing, or assessing safety cases for safety-critical systems. Valid US Driver's license.     Preferred Qualifications   Advanced degree (MS or PhD) in a relevant engineering discipline. Experience with Level 3 and/or Level 4 automated driving systems.   Experience supporting regulatory submissions, technical assessments, certification activities, or compliance programs.   Experience interacting with regulators, technical services, approval authorities, certification bodies, or governmental organizations.   Understanding of global ADS regulatory frameworks and approval pathways.   Experience presenting complex technical concepts to both engineering audiences and external stakeholders.   Familiarity with safety assurance methodologies, risk assessment frameworks, structured safety arguments, and evidence-based safety demonstrations.   Strong understanding of autonomous driving technologies and safety assurance principles.   Experience working with cross-functional engineering teams to develop, review, or validate safety evidence.   Excellent technical writing, communication, and presentation skills.    Ability to travel domestically as needed, with potential for some international travel.   Ability to work effectively under time-sensitive conditions and meet project milestones       Work Requirement   Select one:   This role is fully onsite at Lucid 1 in Newark, CA or Phoenix, AZ Hub. Daily in-person presence is required.     Salary 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 (Annual) $164,600 — $241,340 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.    

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. As a  Sales Specialist in a Lucid Studio, your primary focus will be to guide customers on their journey with Lucid as a main point of contact from sales, transaction facilitation, and successful delivery.  This role is pivotal in ensuring a seamless and personalized customer experience.  If you're achievement-oriented, thrive in goal-focused settings, and have exceptional relational skills, then you'll excel as a Lucid Sales Specialist. Sales Specialist at Lucid is career-defining chance for those who are driven by the thrill of uncapped earning potential plus, have the stability of a guaranteed hourly wage .  Dive into a role where your efforts are directly rewarded, where your sales talent shines in a dynamic and high-achieving environment.  Customer Engagement Needs Assessment: Effectively gauge customer needs through personalized interactions and insightful questioning. Product Expertise: Leverage your in-depth knowledge of Lucid products to offer tailored solutions. Competitive landscape: Take initiative to understand competitor models, pricing, and packages in order to educate customer on why Lucid Customer Relationships: Build and nurture customer relationships to foster brand loyalty. CRM: Utilize Salesforce as CRM tool to track and manage customer interactions with consistent engagement Pipeline Management: Maintain and build a robust sales pipeline through disciplined practices. Goal-Oriented: Meet and exceed performance targets, linking sales with exceptional customer experiences. Conduct test drives and articulate desired selling points ensuring an exceptional experience while driving Lucid vehicles. Deliver an exceptional and memorable sales experience that you would personally want to have Transaction Facilitation (Desking):  Manage end to end transitions for Order to Delivery Management: Support customers with financing/leasing application and Monitor application status, submitted documents and vehicle readiness. Successful Delivery: Guide the customer through the ordering process of Lucid new vehicles, including obtaining documentation, advising on financial products and ensuring the overall purchase and financing process is smooth. Handle registration and facilitation of payment due at signing Coordinate customer support with Lucid Financial Service and Delivery teams as required Assist with daily operations as needed Communication & Presentation Clear Communication: Use exceptional oral and written communication skills to deliver clear and relevant information. Maintain communication on a regular basis during waiting period before delivery date is scheduled Active Listening: Employ active listening techniques to provide solutions that are genuinely helpful to customers. Qualifications 2+ years of relevant sales professional experience in commission-based environment, including building and managing a customer pipeline. Retail automotive sales and desking experience highly desired Availability to work flexible hours including weekends, evenings, and holidays in a retail environment Microsoft Office, CRM tools (Salesforce preferred), and retail business systems user experience Proven track record of achieving individual sales goals. Curiosity and passion about electric vehicles and the premium vehicle market and competitive landscape Exceptional communication skills, encompassing active listening, clear verbal articulation, and proficient written communication, ensuring effective and concise conveyance of information. Strong commitment to continuous personal and technical learning, with a track record of quickly acquiring new skills and knowledge and adaptability. Demonstrated perseverance, grit, and the ability to prioritize long-term goals over short-term rewards, consistently exhibiting resilience and determination in overcoming challenges. Keen understanding of automotive market dynamics, financial principles, and industry trends, enabling informed decision making for our customers. Proactive and action-oriented, achieving objectives with a sense of urgency and efficiency. Exceptional time management skills and a highly organized approach to tasks and responsibilities, ensuring prioritization and multitasking. Exceptional interpersonal skills with a demonstrated ability to build and maintain positive, productive relationships with peers and customers. Passionate about electric vehicles and the premium vehicle market. Bachelor's degree or equivalent work experience preferred. High school or GED required. Ability to coordinate and facilitate customer test-drives. Ability to travel as needed for events Proficiency in English; knowledge of a secondary language is a plus. Physical capacity to stand for extended periods and perform tasks like twisting, bending, squatting, and reaching, with or without reasonable accommodation. Must maintain a valid driver's license and be able to obtain a DMV Salesperson License. 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 & 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.    

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 Material Planner   functio n drives effective coordination between multiple stakeholders including sales, manufacturing, logistics, finance, procure ment, government affairs etc. and carefully develops strategic production plan and forecast to satisfy the needs of lucid customers , maximize plant assets utilization, maximize plant revenue , critically balance all local governmental labor law requirements and ensure zero do wn time and loss of production capacity.   This role leads all discussions related to supplier capacity constraints and drives suitable allocation of constrains resources. He/She is expected to be an excellent communicator across all levels, highly data driven and persuasive .    The ideal candidate brings strategic thought process, digital transformation, strong team builder and motivator with excellent communication capabilities both above and below the grade.     Lead the production control team in planning, scheduling, and coordinating manufacturing activities to meet customer requirements.   Develop and implement production control strategies to improve workflow efficiency and inventory accuracy.   Manage Master Production Schedule (MPS), capacity planning, and shop floor scheduling in alignment with sales forecasts and inventory targets.   Collaborate closely with procurement, logistics, quality assurance, and engineering to ensure smooth operations.   Monitor and analyze production performance metrics (KPIs) such as on-time delivery, production lead time, and inventory turns; drive continuous improvement initiatives.   Ensure the accuracy and integrity of ERP/MRP systems and production data.   Identify bottlenecks or potential delays and proactively implement corrective actions.   Lead cross-functional meetings to review production status, forecast changes, and operational challenges.   Oversee raw material and component inventory levels to support production without overstocking.   Support new product introductions and engineering changes from a planning and control perspective.     Meets agreed objectives, and deliver best practice results, added value and continuous improvements    Monitor and ensure accurate material schedules to get the right materials on site at the right time    Ensure that the function operates in accordance with any health, safety and environmental policies and procedures to ensure the safety and wellbeing of self, staff and visitors        Strong acumen for overall production cost management and maximize plant revenue.       Deep understanding of end-to-end manufacturing, logistics, transportation, warehousing, shipping, sales and vehicle dealership systems/ processes.   Strong leadership, strategic thinking, and cross-functional collaboration skills.   Excellent negotiation, communication, and project management abilities.       Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Business, or a related field.     2-5 years of progressive experience in logistics, distribution, or supply chain operations.   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.    

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. Waymo's Technical Program Managers and Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies. You will: Lead cross-functional technical programs to integrate Waymo's autonomous service with third-party platforms. Own the technical delivery of external integrations end-to-end, from creating the cross-functional execution plan to defining the process for ensuring continued quality post-launch. Serve as the primary execution counterpart for external teams, translating an ambiguous set of work into clearly defined deliverables, owners, and schedule. Drive technical trade-off decisions across scope, schedule, scalability, and user experience. Proactively identify, prioritize, and mitigate risks and dependencies across multiple concurrent partner programs, and represent them to executive leadership. Build the scalable frameworks, processes, and tooling that let Waymo onboard and operate many partner integrations without a linear increase in effort. You have: 7+ years of experience leading highly complex, cross-functional technical programs with a holistic understanding of business-wide functions (e.g. Product, Engineering, Business Development, Operations). A track record of shipping consumer-facing software products and features, with demonstrated ownership of the execution from kickoff through launch and post-launch operations. Experience running programs where critical dependencies sit with teams outside your direct influence, and a track record of getting them to deliver. Strong technical depth: you can read a system design, hold your own in architecture and API discussions with engineers, and tease out the scope, schedule, and risk implications of each option to drive the decision. Deep care for the end user, with the ability to keep rider experience and quality at the center of technically complex, multi-party programs. Exceptional communication and leadership skills, with demonstrated ability to align diverse internal teams and external partners and influence executive stakeholders. We prefer: Experience with external-facing integrations, platform APIs, or B2B2C products where another company's engineering team was a critical dependency. Experience in rideshare, mobility, delivery, two-sided marketplaces, or other products where software coordinates physical operations in real time. Experience launching products or integrations in multiple geographies, including navigating localization, payments, and regulatory requirements. Familiarity with defining quality gates, testing plans, SLAs, and launch readiness processes for systems shared with external teams. Travel requirements: Occasional travel for partner working sessions or market launches   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 $230,000 — $284,000 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. About the Role The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. The Simulator platform is complex and evolving. To ensure that Waymo's Simulation and Evaluation system seamlessly supports next-generation autonomy advancements and fleet growth, this Principal technical leadership role will look across multiple teams and guide architectural strategy for horizontal integrations across the entire Simulator software stack. You will lead simulator projects supporting the development of new onboard architectures and ML systems, new vehicle platforms, and various novel simulator capabilities and evaluation methodologies, defining scalable system interfaces and representing the Simulator Platform in wider cross-functional Waymo efforts. You will: Architect and lead complex, horizontal software integrations across the Waymo Simulator stack. Define long-term technical vision, system boundaries, and extensible interfaces that cleanly integrate onboard autonomy subsystems with offboard simulation and evaluation workflows. Drive multi-quarter, cross-organizational technical roadmaps and large-scale architectural migrations across simulation, evaluation, and onboard engineering teams. Partner closely with senior technical leaders across onboard, sim realism, vehicle platforms, and evaluation to align on end-to-end system design and fidelity requirements. Establish technical standards, integration frameworks, and validation methodologies that accelerate how new Waymo Driver capabilities and vehicle platforms are brought into simulation. Mentor senior engineers and technical leads across partner teams, elevating system architecture quality and driving cohesive cross-team execution. You have: BS/MS/PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Physics, Math, or a related field (or equivalent practical experience) Extensive experience operating technical leadership level at an autonomous vehicle (AV) company, AV simulation company, robotics company, or a related complex simulation/autonomy domain. Proven track record of setting multi-year technical vision, driving multi-quarter roadmaps, and delivering complex horizontal software integrations across organizational boundaries. Deep expertise architecting large-scale, high-complexity simulation or autonomy systems, integrating onboard software stacks, ML models, and vehicle platforms into simulation. Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership, partner engineering, research, and product teams. Strong hands-on technical proficiency in C++ and large-scale software architecture, with demonstrated ability to establish collaboration structures across team boundaries. We Prefer: Direct experience architecting end-to-end autonomous driving or robotics simulators, including closed-loop simulation, scenario generation, and onboard/offboard software interfaces Experience integrating next-generation onboard ML architectures, planning/behavior models, high-definition mapping, or environmental/weather models into simulation Experience driving large-scale simulation mode migrations and supporting multi-generation vehicle platforms across open-loop and closed-loop evaluation Proven success leading large-scale software re-architecture and cross-functional integration projects while maintaining high developer velocity and system reliability 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 $298,000 — $368,000 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. You will: Translate complex, rapidly evolving mapping policy requirements into crisp, actionable, and detailed technical mapping specifications. Partner cross-functionally to evaluate the holistic impact of map changes, ensuring real-time disruptions are safely and reliably managed while minimizing routing impact. Establish a rigorous decision-making framework and clear RACI matrix to drive alignment on policies, ownership, and governance across key stakeholder teams. Empower the scaling of global vendor operations by establishing clear performance metrics to measure quality and overall policy adherence.  Deliver compelling executive communications, risk assessments, and strategic recommendations to Product and Engineering leadership, guiding the future tooling roadmap for real-time disruption management. You have: 8+ years of program management experience, with a strong focus on policy, regulatory, or complex operational initiatives within the technology sector. Demonstrated history of cross-functional stakeholder management, uniting diverse teams around a shared vision and driving executive consensus. Deep technical acumen across complex, multi-model systems, with the ability to bridge technical requirements and operational reality seamlessly. Exceptional analytical mindset and attention to detail, capable of evaluating nuances in policy to prevent fleet-wide operational disruptions. Relentless bias to action with a proven track record of taking end-to-end accountability during critical investigations, moving rapidly from initial diagnosis to execution under pressure. We prefer: Direct experience working with road rules, regulatory frameworks, or geospatial mapping policies. Demonstrated fluency with AI tools for data analytics and workflow optimization Masters degree in a business or technical field Travel requirements : Ability to travel to the India as needed (once every 2 or 3 years)   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 $190,000 — $234,000 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. Driver Refinement and Validation's (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.   You will: Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors You have: MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities Expertise with modern deep learning frameworks, for example JAX or PyTorch We prefer: Experience in deep learning, reinforcement learning, and ML systems Prior industry experience (e.g. internships) in applied ML or software development Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA,  IROS, RSS, CoRL, ACL, or EMNLP) Domain expertise in solving motion planning, prediction, or related robotics problems 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 mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. 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: Literature research of SOTA in RSI, physics AI foundational models, autonomous driving foundational models, World Action models and connect the SOTA to their research projects to improve driver quality Design new data and post-training recipe to RL the driver with the critic model and world model in a close loop setup Coding and implementing the RSI system Inspect training results and ablation studies to iterate the algorithm design   You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Depth in foundational AI model post-training, especially RL Fluency in using AI coding agents, fluency in one of the RL training framework such as Rex, Verl, NeMo-RL Fluency in AI model training basics such as transformer architecture, hyperparameter tuning, overfitting debug Familiarity with autonomous driving, physics AI, VLA, or world models   We prefer: Depth in RL for robotics or autonomous driving models Depth in world action models or video generation models Experience in Recursive Self-Improvement training for AI models.   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 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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. 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: Run data mixture ablations and fit scaling laws Research efficient data curriculum for various Foundation modeling tasks Research contribution and efficiency of different modalities in a multi-modal Foundation Model Explore and apply training data attribution (TDA) and data valuation methods to quantify dataset utility and guide data curation for foundation models You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field In-depth knowledge of state of the art foundation models. Experience with data pipelines at scale Strong foundation in machine learning, deep learning, and statistical modeling/optimization Proficiency in Python and modern deep learning frameworks (e.g., JAX, PyTorch) for training and evaluating large-scale neural networks   We prefer: Experience with Grain Research or practical experience with neural scaling laws, data mixture optimization, curriculum learning, or training data attribution   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 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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. 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: Design and conduct experiments on large-scale generative or foundation model training recipes Analyze model evaluation metrics to identify performance bottlenecks and optimization strategies Collaborate with researchers and engineers to integrate novel techniques into production training pipelines   You have: Currently enrolled in a PhD program in Computer Science, AI, Robotics, or a related quantitative field Solid background in deep learning, transformer architectures, and generative modeling Proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow)   We prefer: Publications at top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV) Experience with distributed training across multi-node GPU/TPU clusters Familiarity with autonomous driving perception, prediction, or planning problems   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 PhD Pay $85 — $85 USD

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 high-impact, strategic seller to lead the go-to-market execution for our newest frontier: AI Products.  As a Core Enterprise Specialist (Overlay), you will partner with our Account Executives (AEs) to build deep partnerships with our enterprise accounts. You aren't just selling a tool; you are pioneering GTM, ensuring our customers realize continuous value from AI-driven automation. About the Team: This specialist team reports into a Sales Director (SD) and consists of specialist sellers aligned by segment and product.  AEs on the team are charged with accelerating the growth of a new product and will be incentivized on quarterly product sales targets mapped to 1 or more regional directors for mainline sellers in the segment.   Product Specialist sellers drive growth through strategic, high-value deal executing and enabling the segment overall to be successful. This is a remote position open to candidates residing in the United States. You should apply if:  You want to impact the industries that run our world: Your efforts 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 have an innate curiosity about how businesses work: One day you're meeting with a VP of Operations in waste management; the next, you're diving into the logistics of a global food distributor. You seek to understand the "unit of value" for every customer. You are an AI pragmatist: You understand that AI Products are about outcomes, not just "cool tech." You can translate LLM and agentic capabilities into tangible safety and efficiency gains for the physical world.  You build genuine, high-stakes relationships: Our customers operate in "boots-on-the-ground" industries. They value earned trust and partners who understand their operational realities. You want to be with the best: Samsara's high-performance culture means you'll be surrounded by the best and challenged to go farther than you have before.  You are a team Player: In an overlay role, your success is tied to the success of the broader account team. You lead through influence, not just authority. In this role you will: Architect deals that align Samsara's AI Products value with customer use cases to provide maximum value and return on investment Co-develop new product pipeline with ADRs/AEs across high potential "AI-ready" accounts Drive high-touch pilot strategy and success metrics for early adoption Partner with GTM and Product to feed back insights and help shape roadmap Build frameworks, assets and insights that scale across the sales org Minimum requirements for the role: 5+ years in complex, full-cycle sales. 2+ years of direct experience selling in AI-based commercial models (e.g., Snowflake, AWS, Twilio, or AI-native platforms). Proven Track Record: Consistent quota over-achievement in complex accounts with $200k+ ARR transactions. Deal Complexity: Demonstrated success navigating 6- figure deals involving multiple stakeholders (Legal, Procurement, InfoSec, and C-Suite). Entrepreneurial Agility: Experience selling "Version 1.0" products where the playbook is still being written. An ideal candidate also has: Experience working in a specialist/overlay co-selling with a mainline AE team. 4+ years direct experience selling AI-based commercial models with a deep understanding of forecasting and expansion mechanics. Strong grasp of AI/ML concepts and how AI Products differ from standard automation. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. Annual on-target earnings (OTE) range for full-time employees for this position is below and depends on your city of residence. Learn more about our total rewards and benefits below. Annual OTE Salary $222,400 — $278,000 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 .