About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Flexport is looking for a creative, technically-minded Senior Data Scientist who is excited about solving challenging problems in fulfillment and logistics. We provide ecommerce merchants a full range of "factory to door" logistics solutions. This role focuses on building automated decision-making processes that ensure that we meet or exceed the expectations of our merchants for fulfillment speed and reliability, while growing the network in a cost-efficient way. Data is at the heart of our business, and as a Data Scientist, you will develop first-in-class science products to make fulfillment easy and efficient for our merchants. In collaboration with multidisciplinary product, engineering, and business/operations teams, you will apply advanced Operations Research (OR) and Machine Learning (ML) methods to deliver data-driven insights and automated decision-making solutions in Flexport's fulfillment products. Our business, product, and engineering teams collaborate closely with our Data Scientists to share domain knowledge, test hypotheses at scale, and develop promising solutions that can be quickly and widely deployed. We are passionate about providing effortlessly accessible intelligence and actionable insights to our end users. Our ideal candidate is: self-motivated, technically excellent at writing code, and passionate about delivering cutting-edge solutions. You will: Design and develop models and algorithms to enable and improve the service of the fulfillment network, including optimal inventory management and reliable delivery service Collaborate with business/product team the goal to reduce fulfillment network variable cost reduction by identifying the cost saving opportunities and figuring out proper solution Contribute to projects that measurably impact business goals, translating a business need to an actionable development plan and executing the plan successfully Work cross functionally across Data Science, Engineering, Product, Planning and Operations to implement production processes and reporting to achieve desired KPIs Contribute to data science and analytics best practices for the team and across the organization You should have: A degree in a quantitative field like Operations Research, Applied Mathematics, Computer Science, Econometrics, etc. 5+ years of industry experience in solving optimization and/or machine learning problems and developing practically efficient, automated solutions Experience developing, enhancing, and maintaining end-to-end data science production processes, including data modeling, algorithm development, testing, and metric tracking Software engineering experience to build software to solve real industrial problems, with a strong understanding of system architecture Proficient with frontier AI models to proactively identify the opportunities for business growth and operational cost saving Proficient with Python and SQL. Experience with Snowflake, dbt, data visualization/reporting tools (e.g. Looker) preferred A "compliance first" attitude to keep our regulators happy and enthusiastic about Flexport since we operate in a heavily regulated industry. #LI-onsite #LI-CZ1 Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
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IT Systems Engineer, M&A
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team; taking part in planning and reviews, using and contributing to the team's tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team's roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 — $360,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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. Technical Specialist , Steering Systems Controls and Integration As a Technical Specialist in Steering Systems Controls & Electronics, you will develop, build, calibrate and validate the systems responsible for Chassis and Vehicle Dynamics control. You will work closely with teams across the engineering group to develop world-class vehicle dynamics-shaping functions from concept to production. The Role: Develop and maintain the requirements and specifications for electric power steering control systems from initial concept to SOP for multiple vehicle programs Work with internal teams such as Vehicle Controls, Vehicle Dynamics and ADAS, as well as external suppliers, to design, build, deliver, test and calibrate prototype software in virtual, HiL and vehicle environments Create, execute and document system level design validation plans including virtual, HiL and vehicle-based activity to take your concepts and prototype software to customer readiness Work across multiple complex projects in a demanding environment Travel domestically and internationally as required Qualifications: 7+ years of automotive experience Strong experience in development and delivery of steering control systems Experience with Vector tools (CANape, CANalyzer, CDMStudio, etc.) Strong understanding of Vehicle Dynamics theory Hands-on practical experience in prototype development Experience with JIRA, Confluence and requirements management tools Familiarity with software development (Matlab/Python/CAPL scripting, model based) Ability to read and work with electrical schematics, with sound understanding of electrical communication principles Advantageous: Excellent problem-solving ability, with an ability to use fundamental principles and data-driven action Desire for continual learning Driven-vehicle attributes development experience is a plus Eager and strong fundamentals-based problem-solving approaches Education: Bachelor's degree in a relevant Engineering or related technical discipline is required. Master's degree or higher education is preferred. 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) $179,400 — $263,120 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. Position Overview The Senior Systems Engineer leads end-of-line and in-process test capability for high-voltage battery packs at AMP-2 in KSA. This hands-on role owns test-process definition, launch support, issue investigation, and continuous improvement across production. The engineer will partner with local manufacturing, process, and quality teams and collaborate closely with US-based battery design, systems, software, and quality organizations to ensure safe, reliable, high-quality battery production. Key Responsibilities Lead the definition, implementation, and debugging of end-of-line test processes for high-voltage battery packs at AMP-2 Perform battery design and process failure mode analysis to continuously improve the test process and capture newly identified failure modes Perform integration validation and testing for updated hardware and software revisions to ensure product quality Work closely with manufacturing, process, and quality teams to ensure engineering requirements are properly met Lead root-cause analysis using fishbone and 8D, driving issues to closure and preventing production interruptions Perform fleet data analysis to continuously improve end-of-line tests detection and minimize field failures Provide timely feedback to the US engineering team on project progress, risks, and technical challenges Develop on-site diagnostic and analysis capability in KSA to enable advanced investigations and root-cause analysis Develop analytics dashboards in collaboration with the data science teams and enable reliable tracking of quality indicators such as FPY and failure causes Skills Hands-on experience working on high-voltage systems and deep understanding of the principles of high-voltage safety Experience working in prototype and mass manufacturing environments supporting creation and implementation of test specifications for end-of-line testing Deep understanding of battery quality KPIs such as capacity, DCIR, and contact resistances Proficiency with large-scale data analysis tools like Python, SQL, or MATLAB and CAN data analysis tools such as CANalyzer/ CANape Strong problem-solving skills using methodologies such as fishbone and 8D Strong understanding of battery architecture and components such as contactors, HV chain, BMS fundamentals, and power electronics Excellent technical English is a must , both spoken and written, with the ability to communicate complex engineering concepts clearly and precisely Willingness to travel to Lucid HQ in California as needed Minimum Qualifications Bachelor's degree in electrical, mechanical, or a related technical field 5+ years' experience in the field of high voltage battery systems, BMS, power electronics, or similar automotive engineering roles 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. Position Overview This role connects Product Development, Manufacturing, Quality, Service, and Supplier teams to support the successful launch, deployment, and continuous improvement of ADAS hardware, software, and vehicle-level functionality throughout the production lifecycle. The ideal candidate brings strong technical knowledge of vehicle systems, diagnostics, and manufacturing processes, combined with a hands-on approach to solving problems in a fast-paced production environment. Key Responsibilities Lead the investigation and resolution of ADAS-related manufacturing, assembly, and vehicle quality issues. Conduct root cause analysis across sensors, ECUs, vehicle networks, software, and calibration processes. Perform vehicle-level integration testing, software verification, and manufacturing trials to support issue resolution and product validation. Support new product launches, engineering changes, and manufacturing readiness for ADAS features and components. Manage part concessions, deviations, and change control activities for ADAS hardware and software. Support End-of-Line diagnostics, calibration, software flashing, and production validation. Partner with Product Development, Manufacturing Engineering, Quality, Service, and Supplier teams to resolve issues and drive continuous improvement. Improve ADAS manufacturing processes, troubleshooting procedures, and validation methods. Provide technical guidance and training to Manufacturing and Quality teams. Support production escalations and ensure critical issues are closed on time. Skills Strong analytical problem-solving and root cause analysis skills. Clear communication, documentation, and cross-functional collaboration skills. Hands-on experience with vehicle diagnostics and ECU flashing. Knowledge of automotive electrical and network architecture. Working knowledge of CAN, Automotive Ethernet, and diagnostic protocols. Experience with CANoe , CANalyzer, CANape , or similar engineering tools. Ability to work independently with minimal supervision in a fast-paced production environment. Strong ownership, resilience, and a proactive problem-solving mindset. Strong organizational and project management skills. Ability to support production activities outside regular business hours when needed. Minimum Qualifications Bachelor's degree in Engineering or a related technical field. 5+ years of experience in automotive manufacturing, production engineering, systems integration, diagnostics, or quality. Experience troubleshooting vehicle electrical, software, or communication issues. Familiarity with ECU diagnostics, software flashing, and vehicle verification. Working knowledge of vehicle communication protocols, including CAN, Automotive Ethernet, and UDS. Experience with manufacturing quality methods, including PFMEA, Control Plans, and structured problem solving. Willingness and ability to travel domestically and internationally as required . ADAS and Sensor Systems Experience with ADAS, Autonomous Driving systems, and sensor technologies such as cameras, radar, lidar, or related perception hardware. Tools and Process Experience Experience with Python scripting, automation, data analysis tools, automotive software release management, and change control processes. Industry Background Experience working at an automotive OEM or Tier 1 supplier. 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.
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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. As a Part-Time Brand Ambassador in a Lucid Studio, your primary focus will be creating exceptional first impressions and delivering a welcoming, elevated experience for every guest who visits Lucid. As one of the first points of contact for our brand, you'll help spark curiosity, build meaningful connections, and introduce customers to the future of electric mobility. If you're passionate about delivering outstanding customer experiences and enjoy representing an innovative luxury brand, you'll excel as a Lucid Brand Ambassador. The Opportunity Brand Ambassadors are the first point of engagement for guests visiting a Lucid Studio. They play a critical role in delivering an elevated customer experience, creating brand connection, and supporting daily studio operations. This is a part-time role that requires flexibility, including the ability to work evenings and weekends . Part Time Brand Ambassador can expect to work between 20-25 hours per week. What You'll Do Welcome guests, answer general inquiries, and schedule test drives Capture high quality customer leads and interactions in CRM (Salesforce) Conduct customer needs assessments (budget, preferences, timing) Recommend suitable vehicles based on customer needs Refer high potential leads to Sales Specialists Ensure guests are directed to the appropriate next step in their journey Build deep knowledge of the Lucid brand, vehicles, and services Explain vehicle features, specifications, and pricing to stimulate consideration Provide backend operational support (order paperwork, order/vehicle status clarity) Support studio operations, including opening/closing checklists Ensure test drive and showcase vehicles are clean, charged, and ready Assist with facility needs (refreshments, maintenance requests) Support day to day studio operations as needed What You Bring Exceptional interpersonal and communication skills A passion for delivering outstanding customer experiences Experience in a customer facing environment (retail, hospitality, food service, etc.) Patience, professionalism, and adaptability in a dynamic retail setting Interest in electric vehicles and enthusiasm for building the Lucid brand Qualifications Flexible availability including extended holiday mall hours, holidays and weekends 18 years old minimum High School diploma/GED required Prior experience with CRM tool such as Salesforce highly preferred Authorized to work in the USA (visas sponsorship not available) Physical requirements include the ability to twist, bend, squat, reach, and stand for extended periods of time with or without reasonable accommodation. Where permitted by law, successful completion of a drug test and background check including, but not limited to, criminal records are a condition of employment for Lucid sales centers Valid driver's license with no suspensions within the past year. Drivers under 21 must have maintained a Driver's License for a minimum of 3 years and successfully complete Lucid Training upon hire Ability to obtain appropriate state DMV licensing, where applicable 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. Hourly rate: $25 giving you stable and predictable income from day one. 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. INDSD 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. Position Overview Mechanical Engineer, E-Motor/Dyno is responsible for designing intent assembly requirements of E-Motor Assemblies and Dyno metrics. 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 & DU test & validation 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 assemblies Owns RCA of EOL DU failures at Dynamometer with manufacturing cross-functional teams with systematic data analysis & associated trends to help pinpoint the source of the issue Strong understanding for engineering requirements behind test spec acceptance criteria & associated development into production EOL Dyno test specifications Partner with DU test & validation team to correlate production dyno data with engineering validation data Champion resolution of recurring production EOL Dyno fallout with potential cause as gaps in validation coverage in close collaboration with DU test & validation, NVH Teams etc. Support development of improved screening methodologies based on field and validation learnings Empower Manufacturing & Test engineers with know how to triage failures from Dynamometer to sustain operations Responsible for design intent assembly requirements for E-Motor assembly , Dyno test specifications & associated enforcement on the line in close collaboration with cross-functional teams 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 using DFMEA, PFMEA, Control Plan, DVP&R, DFM/DFA, & RCA with cross-functional teams Exceptional communication and documentation skills using Atlassian products Proficiency in Catia or 3DX, stack-up analysis (2D & 3D), SQL, JMP, etc. Experience with Atlassian products such as Jira and Confluence Collegiate FSAE, BAJA, or similar experience is preferred Minimum Qualifications BS in Mechanical or Automotive Engineering disciplines with 5+ years of automotive experience in design and release of vehicle attributes or master's degree in mechanical or automotive disciplines with 5+ years of automotive experience in design & release of vehicle attributes Experience in product problem solving using industry standard techniques Experience in test automation tools (Python, MATLAB, AVL PUMA, REPS etc) 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, Dyno data analysis, & associated troubleshooting Technical depth in electric motor gearbox assemblies (Castings, Oil cooling systems, Planetary gear trains, static/dynamic seals, stator, rotors, & half-shafts) & associated troubleshooting is required Experience in product development or improvement of Drive Unit Assemblies Exceptional communication and documentation skills are required Six Sigma Green or Black Belt certification Engineering-in-Training (EIT) certification or certification in engineering fundamentals 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 Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and reports to a Technical Lead Manager. You will: Develop agentic systems that accelerate release qualification and improve developer velocity Work across frontend and backend technologies, various languages, and large systems of software Deeply understand test development and test execution workflows, creating novel automation solutions Think big, and take on ambitious projects that require systems thinking and experimentation You have: Bachelor's degree or equivalent practical experience Experience building and productionizing agents, agent harnessing, and AI-backed systems 5+ years of working experience in C++ or Python Ability and ambition to learn new skills as they are needed We prefer: Experience as a Dev AI leader and policy maker Experience with robotics, firmware, hardware-in-the-loop, and other hardware-based software products Experience with test development, test automation, and test engineering Experience with UX design Experience with release management practices and tools 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 Growth Machine Learning Engineering team partners closely with Data Science to take models from experimentation into reliable production. We own the underlying ML data infrastructure: standardizing shared feature definitions, eliminating data leakage in training pipelines, automating scheduled retraining, and establishing safeguards so faulty batch scoring runs never affect live promotions. By managing data integrity, deployment pipelines, and production monitoring, we provide the dedicated engineering support needed to keep model-driven growth initiatives dependable and scalable. You will: Own the feature layer between the Growth DB and the models. Work with data engineering on schema design for ML features, and with data science to turn their feature lists into versioned feature definitions that training and scoring both read from. Build point-in-time correct training data, so a retrain sees each day as it was and does not leak future data. Data science has already named this as a gap in today's pipelines. Take models data science has trained and put them into production: validate against the offline results, wire them into batch scoring, and add input and output checks that stop a bad run before promos go out. Lead training automation: scheduled retrains, a model registry, and validation before a new model version is promoted. Monitor models in production: feature drift, score distribution shifts, and model versus random arm results. Be data science's day-to-day engineering counterpart, so feature and modeling questions do not queue behind the tech lead. You have: Experience at roughly building production ML systems: feature pipelines, training data generation, batch inference. Strong SQL and Python, plus large-scale data processing (Flume, Beam, Spark or similar). Designed feature schemas or worked on a feature store, and understands point-in-time correctness and train/serve skew from having fixed them. Productionized and owned the lifecycle of an existing offline model Worked with data scientists and can turn a loose feature request into a spec. We prefer: Background in uplift modeling, causal inference or experimentation (A/B tests, holdouts), enough to understand what the models need. Experience in ads, marketing, recommendations, pricing or promotions. Familiarity with feature stores, workflow orchestration (Airflow or similar) and distributed SQL databases. #LI-Hybrid 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. This role follows a hybrid work schedule and reports to a Software Tech Lead Manager. You will: Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience You have: BS degree in Computer Science or equivalent practical experience 5+ years of software engineering experience, including building and deploying ML models into production Experience building backend distributed systems We prefer: Experience with C++ MS in Computer Science, or equivalent practical experience Experience in developing machine learning models, infrastructure, and pipelines Experience deploying models on-device or on edge hardware with compute and latency constraints Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction Experience in autonomous vehicles or robotics Disclosure for WA Based & Remote Roles: In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process. 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. 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. 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 controllable & realistic adversarial agents for more efficient simulation based evaluation and deploy them in the Waymo Simulator Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World Models You have: Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field Proficient in Python Coding and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow / etc.) Experience with Machine Learning and Deep Learning We prefer: Hands-on experience with post-training and reinforcement learning Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures Experience with autonomous driving or robotics 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 annual pay 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. PhD Pay £80,000 — £80,000 GBP
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 subteam for this role will be: The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. 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: Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning You have: Currently pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) We prefer: Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments 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 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