Senior Design Engineer jobs at Lucid Motors - 923 jobs

A leading automotive company is seeking a Senior Drive Unit Design Engineer to spearhead the design and development of next generation EV drivetrains. This role involves working within a lubrication and cooling team, owning hardware projects from concept to production, and requires a strong background in engineering. Join a team dedicated to creating a fully electric transportation future, delivering exceptional customer experience and driving positive change in the automotive industry. #J-18808-Ljbffr

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams. In this position... As a Senior Drive Unit Design engineer, you will be responsible for design and development of Ford's next generation EV drivetrains. You will work within the lubrication and cooling team developing production hardware. You will own hardware from concept to production with exposure to sourcing, validation, and ramp. #J-18808-Ljbffr

The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance. #J-18808-Ljbffr

The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems. As a software engineer on the perception mapping team, you will be a key contributor to Zoox's online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox. In this role, you will: Curate, validate, and label datasets for model training and validation Research, implement, and train ML models to perform semantic map element detection Closely collaborate with validation teams to formulate and execute model validation pipelines Integrate models into the greater onboard autonomy system within compute budgets Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions Qualifications: MS or PhD or equivalent experience (5+ years) in Computer Science or related field Experience in computer vision or robotics Experience with training and deploying deep learning models Experience with Python libraries (pytorch, numpy) Bonus Qualifications: Experience with C++ Experience with CUDA and/or GPU programming Experience with mapping related ML techniques $189,000 - $227,000 a year There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. #J-18808-Ljbffr

The Role: Are you a creative and technical problem-solver with a passion for 3D graphics? Join our team of talented engineers and artists to build high-fidelity simulations that will be instrumental in developing safe and reliable self-driving cars. This role offers the rare opportunity to bridge the gap between artistic vision and engineering rigor. You'll work on complex, large-scale virtual environments, addressing critical fidelity and performance challenges that directly impact the safety and reliability of autonomous vehicles. Collaborate within a highly interdisciplinary team of world-class Artists, Engineers, and Research Scientists to redefine the boundaries of simulation technology, and create innovative tools, pipelines, and workflows for artists. What you'll do: 3D Asset Pipeline Development: Lead the development of a cutting-edge asset generation pipeline for our new real-time, GPU-based ray tracing engine, defining the foundational standards and conventions that will drive future advancements in photorealistic simulation. Content Authoring Tools: Integrate external Digital Content Creation tools such as Maya and Unreal Editor with our simulation and rendering stack. Build workflows to author assets for our USD based renderer. Rendering Optimization: Architect and implement advanced content authoring strategies to significantly reduce cloud compute costs, leveraging state-of-the-art techniques in geometry, material, shader, and texture optimization to achieve optimal performance. Performance Monitoring: Develop systems to validate and monitor asset fidelity and performance, actively analyzing realism perceived by computer vision models. Scripting and Automation: Develop tools and scripting APIs to automate the creation and management of assets. Tool Development: Assist artists and engineers via tool development, concept testing of new ideas, and building rapid prototypes. Collaboration: Work closely with engineers, designers, and researchers to understand testing requirements and translate them into effective simulation environments. Work hand in hand with Cruise Machine Learning Engineers to develop simulations that best test and train our ML Models. Quality Assurance: Provide front-line production support across multiple disciplines, troubleshoot assets and scenarios, and help artists with problem-solving. Triage and redirect problems to appropriate engineering teams. Your Skills and Abilities: 5+ years experience as a technical artist (or equivalent capacity) in visual effects, animation, simulators, 3D games, or other high-performance systems. Bachelor's degree or higher in Computer Science, specifically with a concentration or focus in Computer Graphics Proven experience creating Python scripts to streamline content creation Experience with C++ for performance critical engineering and software application development Strong 3D content pipeline knowledge with a deep understanding of modeling, texturing, animation, and lighting. Proficient with profiling tools to diagnose performance issues and identify how to optimize scenes. In-depth knowledge of real-time rendering including physically-based rendering (PBR) pipelines, shader authoring in MDL (or similar shader language) or shader graphs as well as shader performance profiling and optimization. What Will Give You A Competitive Edge: Demonstrated experience in generating high-quality synthetic data for machine learning model training and validation, with an understanding of its critical role in autonomous system development NVidia Optix, MDL, and USD experience is highly desirable Film or VFX Studio tools or Pipeline Engineer experience. Unreal Engine 4 experience with blueprints and material editor Maya experience A portfolio or reel, including a detailed breakdown of your work in each section. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York, Colorado, California, or Washington. The salary range for this role is ($160,200 and $246,300). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more. #J-18808-Ljbffr

An automotive giant is seeking a Staff ML Engineer for their ML Compute Platform to scale backend services and contribute to AI infrastructure. Responsibilities include designing software components, improving system efficiency, and leading initiatives. Candidates should have 7+ years of experience and expertise in languages like Go, C++, or Python, as well as a solid background in distributed systems. Join a team that's transforming mobility and tackling complex engineering challenges with AI applications. #J-18808-Ljbffr

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or any other frequency dictated by the business. About the Team: Our AI Research team, reporting directly to the Chief AI Officer, is pioneering how cutting-edge machine learning can transform the way vehicles are designed, manufactured, and experienced. We are building the next generation of intelligent systems-integrating multimodal foundation models, generative AI, robotics and predictive maintenance into real-world automotive innovation at global scale. The Role: As an Early Career Machine Learning Engineer, you will contribute to the development of end-to-end AI/ML systems that solve high-stakes problems in robotics and manufacturing at scale. You will work closely with senior engineers and researchers to design, prototype, and deploy state-of-the-art AI models with direct application to vehicle design, manufacturing operations, robotics, and simulation of physical systems. You will have the opportunity to translate cutting-edge research into production systems, collaborate with a world-class team of scientists and engineers, and grow your expertise while contributing to GM's AI research agenda and engaging with the broader AI community. What You'll Do: Adapt machine learning architectures for complex industrial applications, including computer vision, robotic manipulation, predictive maintenance, and process optimization Build end-to-end deep learning pipelines that handle multi-modal sensor data (vision, force/torque, proprioception, environmental sensors) Contribute to the development of foundation models and transfer learning frameworks that generalize across diverse industrial scenarios and equipment types Contribute to the development of data collection and annotation strategies to build high quality datasets for training and validating models in industrial settings Work with partner teams to translate technical requirements into ML solutions and support integration efforts Own the deployment and monitoring of ML models in production environments Publish research findings in top-tier venues (for example, NeurIPS, ICML, CVPR) and contribute to GM's presence in the research community Minimum Qualifications: Currently has, or is in the process of obtaining a PhD in the field of Computer Science, Machine Learning, or a related field (STEM focused), or a Master's degree with significant ongoing AI/ ML contributions. PhD Degree must be completed prior to joining General Motors Able to work full time, 40 hours per week What will give you a Competitive Edge (Preferred Qualifications): In depth knowledge about modern deep learning architectures-Transformers, Diffusion Models, CNNs and model training techniques at scale Strong hands-on experience with at least one of the popular AI/ML frameworks (PyTorch, Tensorflow, Keras or JAX) Experience with anomaly detection and predictive maintenance applications through course work, research or projects Experience with reinforcement learning for robotic control or process optimization through course work, research or projects Experience training multimodal deep learning models Demonstrated research contributions in AI/ML technologies through publication of PhD research in top‑tier conferences or journals Ability to formulate research questions from ambiguous problems and apply rigorous experimental methodology including hypothesis formation, evaluation, and statistical analysis Demonstrated track record of publications in top AI/ML conferences or patents demonstrating novel contributions to the field Strong programming skills in Python and familiarity with one or more of systems languages (C++/Java) Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is $130,000 - $170,,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. What you'll get from us (Benefits): GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #J-18808-Ljbffr

A leading automotive company in Mountain View is seeking an Early Career Machine Learning Engineer to develop cutting-edge AI systems for vehicle design and manufacturing. The role requires collaboration with senior engineers, and candidates must have a relevant PhD or Master's degree. Competitive salary range from $130,000 to $170,000, plus benefits including health programs and possible relocation assistance. #J-18808-Ljbffr

Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum. The Role: We are seeking an experienced, technically oriented, impact-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Staff ML System Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. What You'll Do: Lead the design and development of scalable, reliable, high-performance ML frameworks to support model training at scale. Lead model training performance analysis and optimization solutions to scale distributed training workflows, maximize resource utilization across heterogeneous hardware environments, and reduce costs. Enhance system observability, debuggability, operational excellence, and user experience. Collaborate with cross-functional teams to integrate new features and technologies into the platform. #J-18808-Ljbffr

**Job Description****Staff ML Engineer, ML Compute Platform****About the Team:**The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic, reliable, and cost-efficient compute backend that powers GM AI. We're proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5), as well as other groups building AI-driven products for GM and its customers.We enable rapid innovation and feature development by optimizing for high-priority, ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms while maintaining reliability and cost efficiency. **About the Role:**We are looking for a Staff Software Engineer to join our team and help us scale our platform for performance, reliability, and usability. You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system architecture and user experience.This is a hands-on engineering role that requires a strong background in distributed systems, infrastructure, and a product mindset with a keen eye for user experience.**What you'll be doing:*** Design core platform backend software components* Experience cloud platforms like GCP, Azure* Thrive in a dynamic, multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa* Analyze and improve efficiency, scalability, and stability of various system resources* Proactively identify, drive and design large initiatives across GM ML ecosystem**At a Minimum We'd Like You To Have*** 7+ years of industry experience* Expertise in either Go, C++, Python or other relevant coding languages* Strong background with kubernetes at scale* Relevant experience building large-scale with distributed systems* Experience leading and driving large scale initiatives* Experience working with Google Cloud Platform, Microsoft Azure, or Amazon Web Services**It's Preferred If You Have*** Hands-on experience in ML platforms* Experience with GPU/TPU optimizations* Experience with training frameworks like PyTorch, TorchX* Experience with Ray framework* Leadership/active participation in the open source community* Experience infrastructure applications or similar experience If you're excited to tackle some of today's most complex engineering challenges, see the impact of your work in real-world AV applications, and help shape the future of AI infrastructure at GM-this is the team for you. **Compensation:*** The expected base CA compensation for this role is: $198,900 - $304,800. Actual base compensation within the identified range will vary based on factors relevant to the position.* You also need to include general information about potential commissions, if applicable.**Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.* **Benefits:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.**About GM**Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.**Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.**Benefits Overview**From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting .**Non-Discrimination and Equal Employment Opportunities (U.S.)**General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit .**Accommodations**General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, **email**us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest. #J-18808-Ljbffr

The Role: We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput, scaling multi-modal models, and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training, training efficiency, DDP/FSDP, data processing pipelines, and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy. What You'll Do: Architect, build, and optimize core AI/ML platform infrastructure to support massive-scale model training. Collaborate with data scientists, ML engineers, and software developers to enable seamless workflows from research to production. Drive efficiency in large-scale distributed training and data processing pipelines. Establish best practices for reliability, scalability, and performance across the AI/ML platform. Provide technical leadership and mentorship, guiding teams on platform design, architecture decisions, and emerging technologies. Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives. Your Skills & Abilities (Required Qualifications): Bachelor's degree or higher in Computer Science, related field, or equivalent experience. 8+ years of professional software engineering experience. 4+ years of specialized experience in AI/ML domain (e.g., enabling distributed training for large-scale models). Strong programming skills in Python, with proficiency in frameworks such as PyTorch (preferred) or TensorFlow. Experience with distributed systems, GPU computing, and cloud environments (AWS, GCP, or Azure). Comfortable operating in highly ambiguous and dynamic environments. Willingness to travel to Sunnyvale, CA as needed. What Will Give You a Competitive Edge (Preferred Qualifications): Proven track record of self-motivation, execution, and delivering impact. Deep expertise with PyTorch 2.x+ and distributed training frameworks. Strong skills in profiling, analysis, debugging, and optimizing training performance (e.g., avoiding memory fragmentation, operation fusion). Proficiency in C++ for performance-critical components. Experience leading cross-functional projects and aligning diverse stakeholders on priorities. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $197,600 to $374,200. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Work Location: This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. #J-18808-Ljbffr

A leading automotive company in San Francisco seeks a versatile technical artist to create high-fidelity simulations for autonomous vehicles. You will be responsible for developing advanced asset pipelines, integrating creative tools, and optimizing performance for complex virtual environments. The ideal candidate has over 5 years of experience in technical artistry and strong skills in Python and C++. This is an exciting opportunity to impact the future of self-driving technology. #J-18808-Ljbffr

MuleSoft Operations Engineer. We are looking for a MuleSoft Operations Engineer to join our team. This role is focused on keeping our MuleSoft integrations and APIs running smoothly in production, while driving automation to reduce manual effort. You Operations, Mulesoft, Engineer, Operation, Integration, Technology, Insurance

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Our team develops firmware and controls for a diverse array of power conversion systems, encompassing both vehicle and energy products, such as DC fast chargers, residential bidirectional chargers, and onboard power electronics systems. The ideal candidate will support the full software development lifecycle for power electronics and support ECUs, from specification and design to implementation and testing. This will require proficiency in a variety of embedded architectures, from bare metal to RTOS implementations, as well as a deep understanding of modern multi-core 32-bit embedded controller peripherals and architecture. Responsibilities Specification, design, implementation, and testing of both bare metal and RTOS low-level software for power electronics applications Work with/resolve ambiguity in requirements/specifications/designs Design and specify interfaces between application software and firmware Design, develop, implement, and test multicore interfaces and applications Develop multicore, timing critical software architectures Create elegant, efficient real time software components and interfaces Develop software component testing methodologies and implementations to ensure maturity/stability/release readiness Work with hardware and debuggers at a bench and HIL level to verify software operation Design ISO26262 compliant software Document requirements, software design and test procedures and results Qualifications At least a bachelor's degree in computer engineering, electrical engineering or computer science. Master's degree preferred 3+ years of software development experience with real-time embedded C systems Fluency in state-of-the-art embedded software practices using the C programming language Proficiency in version control software processes and techniques (GitFlow, GitLab) Ability to write testing scripts for using scripting languages (Python) Knowledge of software build procedures and the ability to maintain build scripts (SCons preferred, CMake, Makefile) Strong background in real-time software component design and testing Pay Disclosure Salary Range for California Based Candidates: $135,100 - $168,900.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. At least a bachelor's degree in computer engineering, electrical engineering or computer science. Master's degree preferred 3+ years of software development experience with real-time embedded C systems Fluency in state-of-the-art embedded software practices using the C programming language Proficiency in version control software processes and techniques (GitFlow, GitLab) Ability to write testing scripts for using scripting languages (Python) Knowledge of software build procedures and the ability to maintain build scripts (SCons preferred, CMake, Makefile) Strong background in real-time software component design and testing Specification, design, implementation, and testing of both bare metal and RTOS low-level software for power electronics applications Work with/resolve ambiguity in requirements/specifications/designs Design and specify interfaces between application software and firmware Design, develop, implement, and test multicore interfaces and applications Develop multicore, timing critical software architectures Create elegant, efficient real time software components and interfaces Develop software component testing methodologies and implementations to ensure maturity/stability/release readiness Work with hardware and debuggers at a bench and HIL level to verify software operation Design ISO26262 compliant software Document requirements, software design and test procedures and results

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Design and develop electrical circuits and converters for Rivian's off-board charging products. These include the Rivian Adventure Network DC fast charger, level 2 AC charger, and other state-of-the-art products. This position will sit out of our Torrance, CA, location and report to the Sr. Director, Electrical Design. Responsibilities The Senior Power Electronics Engineer will be responsible for the development of high-power electrical circuits, such as active rectifiers, inverters, and DCDC converters Circuit design, component selection, schematic creation, PCBA layout, and magnetic design Perform trade studies for key decisions Simulate circuits using Matlab, PLECS, and other tools Analyze structures and magnetic components such as bus bars and high-frequency transformers/inductors EMI/EMC filter design Interact with suppliers on critical components Test prototype power electronics circuits in lab Characterize power semiconductor devices, including Silicon, SiC, and GaN Engage with multiple cross-functional teams, including Mechanical, Software and Controls, Systems, Test, Quality, Reliability, and Manufacturing. Qualifications Minimum M.S. in Electrical Engineering plus 3+ years of relevant industry experience, specializing in power electronics Familiarity with common topologies such as multi-phase boost PFC, dual active bridge converter, LLC, etc Expertise in high-power EV charger or energy storage, stationary-related power converters preferred Solid understanding of power semiconductor switches and diodes, and their characteristics Strong experience designing and analyzing inverter and converter circuits, including gate drivers Familiarity with embedded control of power electronic circuits Power converters and grid tie control PWM methods Experience with bidirectional AC/DC or DC/DC power conversion Experience using software tools such as Spice, PLECS, Mathcad, Ansys, and Matlab Experience using FEA simulation tools such as Ansys Maxwell/Q3D or equivalent PCB layout using Altium Exposure to EMC requirements and safety certification Ability to work in a fast-paced development environment Pay Disclosure Salary Range California-Based Applicants: $121,500 - $151,900 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental, and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is adequate on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Minimum M.S. in Electrical Engineering plus 3+ years of relevant industry experience, specializing in power electronics Familiarity with common topologies such as multi-phase boost PFC, dual active bridge converter, LLC, etc Expertise in high-power EV charger or energy storage, stationary-related power converters preferred Solid understanding of power semiconductor switches and diodes, and their characteristics Strong experience designing and analyzing inverter and converter circuits, including gate drivers Familiarity with embedded control of power electronic circuits Power converters and grid tie control PWM methods Experience with bidirectional AC/DC or DC/DC power conversion Experience using software tools such as Spice, PLECS, Mathcad, Ansys, and Matlab Experience using FEA simulation tools such as Ansys Maxwell/Q3D or equivalent PCB layout using Altium Exposure to EMC requirements and safety certification Ability to work in a fast-paced development environment The Senior Power Electronics Engineer will be responsible for the development of high-power electrical circuits, such as active rectifiers, inverters, and DCDC converters Circuit design, component selection, schematic creation, PCBA layout, and magnetic design Perform trade studies for key decisions Simulate circuits using Matlab, PLECS, and other tools Analyze structures and magnetic components such as bus bars and high-frequency transformers/inductors EMI/EMC filter design Interact with suppliers on critical components Test prototype power electronics circuits in lab Characterize power semiconductor devices, including Silicon, SiC, and GaN Engage with multiple cross-functional teams, including Mechanical, Software and Controls, Systems, Test, Quality, Reliability, and Manufacturing.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Join the product development team to drive the production launch of Rivian's future high-voltage power electronics (Propulsion Inverters, On-Board Chargers, DC-DC and DC-AC Converters). This role requires developing and directing comprehensive validation test plans to rigorously demonstrate component compliance across electrical, mechanical, environmental, and durability standards. Based in Torrance, CA, you will be a vital link reporting to the Department Director. Responsibilities 1. Planning & Development (Test Strategy): This involves the initial planning stages, ensuring the validation process aligns with the product's design and requirements. Requirements Interpretation: Working with software and hardware teams to comprehend product requirements and develop test cases. This requires a strong understanding of power electronics design and system-level performance. Test Equipment Definition: Collaborating with the Test Equipment design group to define the Special Test Equipment (STE) capabilities needed for validation. Procedure Creation: Developing detailed test procedures that define specific test setup requirements and instructions. 2. Test Execution & Setup: This covers the hands-on aspects of setting up, leading, and executing the physical testing. Fixture Design: Designing test fixtures specifically required for rigorous vibration and environmental testing. Lab Leadership: Providing direction to lab technicians (both in-house and at 3rd party labs) on setting up and executing validation tests. Specialized Surveys: Leading crucial validation efforts, such as hardware thermal and vibration surveys. 3. Reporting, Analysis, and Documentation: A significant portion of the role involves analyzing results, reporting status, and driving the resolution of problems found during testing. Data Analysis: Creating summary reports and providing data analytics on the data collected during testing. Issue Management: Documenting validation test failures in the problem resolution database and supporting technical root cause analysis and issue resolution Status Reporting: Regularly reporting out the Validation status to the product development and vehicle teams. 4. Cross-Functional and Supplier Management: The engineer acts as a critical link between design, quality, and external partners. Design Participation: Actively participating in design reviews, requirement reviews, and DFMEAs (Design Failure Mode and Effects Analysis) to influence design for reliability and testability. Supplier Oversight: Managing supplier-sourced sub-component validation efforts and ensuring all reported defects are addressed and closed. Qualifications Education: B.S. or advanced degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Validation & Test Engineering: Proficiency in setting up and executing standard validation tests, including thermal, mechanical (vibration/shock), and electrical testing. Data Acquisition & Analysis: Strong ability to use measurement equipment and analyze large datasets to draw conclusions and identify failure modes. Power Electronics Knowledge: Knowledge of the product being tested (power converters, inverters, on-board chargers, etc.). Troubleshooting & Root Cause Analysis: Excellent problem-solving skills to drive root cause analysis and issue resolution. Familiarity with automotive industry validation standards. Experience using instrumentation (thermocouples, RTDs, strain gauges, accelerometers, pressure gauges, flow meters) Working knowledge of automotive communication protocols (CAN, LIN) Experience with collaboration tools like JIRA, Confluence, & Requirements Management tools. Cross-Functional Communication: Ability to clearly communicate technical findings to diverse teams (hardware, software, manufacturing, and management). Ability to adapt to change in a fast-paced development environment. Ability to travel as needed. Pay Disclosure Salary Range for California Based Candidates: $98,500 - $123,100.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Education: B.S. or advanced degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a related field. Validation & Test Engineering: Proficiency in setting up and executing standard validation tests, including thermal, mechanical (vibration/shock), and electrical testing. Data Acquisition & Analysis: Strong ability to use measurement equipment and analyze large datasets to draw conclusions and identify failure modes. Power Electronics Knowledge: Knowledge of the product being tested (power converters, inverters, on-board chargers, etc.). Troubleshooting & Root Cause Analysis: Excellent problem-solving skills to drive root cause analysis and issue resolution. Familiarity with automotive industry validation standards. Experience using instrumentation (thermocouples, RTDs, strain gauges, accelerometers, pressure gauges, flow meters) Working knowledge of automotive communication protocols (CAN, LIN) Experience with collaboration tools like JIRA, Confluence, & Requirements Management tools. Cross-Functional Communication: Ability to clearly communicate technical findings to diverse teams (hardware, software, manufacturing, and management). Ability to adapt to change in a fast-paced development environment. Ability to travel as needed. 1. Planning & Development (Test Strategy): This involves the initial planning stages, ensuring the validation process aligns with the product's design and requirements. Requirements Interpretation: Working with software and hardware teams to comprehend product requirements and develop test cases. This requires a strong understanding of power electronics design and system-level performance. Test Equipment Definition: Collaborating with the Test Equipment design group to define the Special Test Equipment (STE) capabilities needed for validation. Procedure Creation: Developing detailed test procedures that define specific test setup requirements and instructions. 2. Test Execution & Setup: This covers the hands-on aspects of setting up, leading, and executing the physical testing. Fixture Design: Designing test fixtures specifically required for rigorous vibration and environmental testing. Lab Leadership: Providing direction to lab technicians (both in-house and at 3rd party labs) on setting up and executing validation tests. Specialized Surveys: Leading crucial validation efforts, such as hardware thermal and vibration surveys. 3. Reporting, Analysis, and Documentation: A significant portion of the role involves analyzing results, reporting status, and driving the resolution of problems found during testing. Data Analysis: Creating summary reports and providing data analytics on the data collected during testing. Issue Management: Documenting validation test failures in the problem resolution database and supporting technical root cause analysis and issue resolution Status Reporting: Regularly reporting out the Validation status to the product development and vehicle teams. 4. Cross-Functional and Supplier Management: The engineer acts as a critical link between design, quality, and external partners. Design Participation: Actively participating in design reviews, requirement reviews, and DFMEAs (Design Failure Mode and Effects Analysis) to influence design for reliability and testability. Supplier Oversight: Managing supplier-sourced sub-component validation efforts and ensuring all reported defects are addressed and closed.

Ford Racing is the high-performance division of Ford Motor Company, dedicated to pushing the boundaries of automotive engineering and performance on tracks and circuits worldwide. We innovate, design, and compete with a passion for victory and a commitment to advancing vehicle technology. Joining Ford Racing means becoming part of a legacy of engineering excellence and contributing to the future of motorsports. At Ford Racing, you'll have the opportunity to work at the cutting edge of automotive technology, directly impacting the performance of world-class racing vehicles. We offer a challenging yet rewarding environment where your contributions are vital to our success. Join us and help shape the future of motorsports. In this position... Ford Racing is seeking a highly motivated and skilled Aerodynamics Engineer to join our dynamic team. This crucial role focuses on optimizing the aerodynamic performance of our racing vehicles, directly contributing to our success on the track. The Aerodynamics Engineer will utilize advanced computational tools and experimental methods to design, analyze, and refine vehicle shapes, ensuring maximum efficiency, downforce, and stability in competitive environments. This role is hybrid and requires at least 4 days per week onsite in either the Allen Park, MI or the Concord, NC office. You'll have... Bachelor's degree in Mechanical Engineering or Aerospace Engineering or a related field (Masters preferred). Minimum of 2 years' experience with Computational Fluid Dynamics (CFD) software and analysis techniques. Even better, you may have... Demonstrated experience with CAD software for design and modeling. Practical experience in wind tunnel testing, including test planning, execution, and data analysis. Excellent problem-solving skills, attention to detail, and a creative approach to engineering challenges. Strong communication and teamwork abilities, with a proven capacity to work effectively in a fast-paced, collaborative environment. A relentless drive to innovate and achieve peak performance. The ability to think critically and analytically to solve complex aerodynamic problems. A collaborative spirit and the capacity to contribute effectively within a high-performance team. Adaptability and resilience in a rapidly evolving competitive landscape. Previous work experience in automotive or motorsports aerodynamics. Trackside testing experience. As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here. This position is a range of salary grades SG5-8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #FR1 #LI- LC2 What you'll do... Conduct detailed computational fluid dynamics (CFD) simulations to analyze and optimize the aerodynamic characteristics of racing vehicles and components. Utilize Computer-Aided Design (CAD) software to create and modify aerodynamic surfaces and components for simulation and testing. Plan, execute, and analyze data from wind tunnel testing of scale models and full-scale vehicles to validate designs and gather critical performance insights. Develop innovative aerodynamic solutions to enhance vehicle speed, handling, and stability. Collaborate closely with design, vehicle dynamics, and other engineering teams to integrate aerodynamic considerations into the overall vehicle development process. Interpret complex aerodynamic data, generate comprehensive reports, and present findings and recommendations to cross-functional teams and leadership. Research and implement new methodologies and technologies in aerodynamics to continuously improve development processes and vehicle performance. Ensure all aerodynamic developments comply with relevant motorsports regulations and technical specifications.

**Ford Racing** is the high-performance division of Ford Motor Company, dedicated to pushing the boundaries of automotive engineering and performance on tracks and circuits worldwide. We innovate, design, and compete with a passion for victory and a commitment to advancing vehicle technology. Joining Ford Racing means becoming part of a legacy of engineering excellence and contributing to the future of motorsports. At Ford Racing, you'll have the opportunity to work at the cutting edge of automotive technology, directly impacting the performance of world-class racing vehicles. We offer a challenging yet rewarding environment where your contributions are vital to our success. Join us and help shape the future of motorsports. **In this position...** Ford Racing is seeking a highly motivated and skilled Aerodynamics Engineer to join our dynamic team. This crucial role focuses on optimizing the aerodynamic performance of our racing vehicles, directly contributing to our success on the track. The Aerodynamics Engineer will utilize advanced computational tools and experimental methods to design, analyze, and refine vehicle shapes, ensuring maximum efficiency, downforce, and stability in competitive environments. **This role is hybrid and requires at least 4 days per week onsite in either the Allen Park, MI or the Concord, NC office.** **What you'll do...** + Conduct detailed computational fluid dynamics (CFD) simulations to analyze and optimize the aerodynamic characteristics of racing vehicles and components. + Utilize Computer-Aided Design (CAD) software to create and modify aerodynamic surfaces and components for simulation and testing. + Plan, execute, and analyze data from wind tunnel testing of scale models and full-scale vehicles to validate designs and gather critical performance insights. + Develop innovative aerodynamic solutions to enhance vehicle speed, handling, and stability. + Collaborate closely with design, vehicle dynamics, and other engineering teams to integrate aerodynamic considerations into the overall vehicle development process. + Interpret complex aerodynamic data, generate comprehensive reports, and present findings and recommendations to cross-functional teams and leadership. + Research and implement new methodologies and technologies in aerodynamics to continuously improve development processes and vehicle performance. + Ensure all aerodynamic developments comply with relevant motorsports regulations and technical specifications. **You'll have...** + Bachelor's degree in Mechanical Engineering or Aerospace Engineering or a related field (Masters preferred). + Minimum of 2 years' experience with Computational Fluid Dynamics (CFD) software and analysis techniques. **Even better, you may have...** + Demonstrated experience with CAD software for design and modeling. + Practical experience in wind tunnel testing, including test planning, execution, and data analysis. + Excellent problem-solving skills, attention to detail, and a creative approach to engineering challenges. + Strong communication and teamwork abilities, with a proven capacity to work effectively in a fast-paced, collaborative environment. + A relentless drive to innovate and achieve peak performance. + The ability to think critically and analytically to solve complex aerodynamic problems. + A collaborative spirit and the capacity to contribute effectively within a high-performance team. + Adaptability and resilience in a rapidly evolving competitive landscape. + Previous work experience in automotive or motorsports aerodynamics. + Trackside testing experience. As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including: + Immediate medical, dental, vision and prescription drug coverage + Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more + Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more + Vehicle discount program for employees and family members and management leases + Tuition assistance + Established and active employee resource groups + Paid time off for individual and team community service + A generous schedule of paid holidays, including the week between Christmas and New Year's Day + Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here (****************************** . This position is a range of salary grades SG5-8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #FR1 #LI- LC2 **Requisition ID** : 54140

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. We are currently seeking a Manufacturing Engineer for the End of Line, Manufacturing Engineering team. The Manufacturing Engineer will be responsible for taking the lead role in managing all the electrical testing at Lucid. The Manufacturing Engineer will work closely with Logistics, Manufacturing Operations, Manufacturing Engineers, Product Engineering, New Product Introduction, and other cross-functional teams to ensure the General Assembly process is properly designed and implemented. Our ideal candidate exhibits a can-do attitude and approaches his or her work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment. You Will: Lead technical efforts across teams engaged in complex problem-solving related to End-of-Line (EOL) electrical testing, troubleshooting, and diagnostics. Prepare and procure all items for station readiness for reflash and test equipment. Develop, validate, and implement new test strategies, tools, and equipment to improve overall test quality, throughput, and efficiency. Collaborate with Software Engineering and Production teams to coordinate software launches. Manage software flashing processes across vehicle control modules, ensuring software integrity and configuration accuracy. Lead efforts in MES system integration and process monitoring for traceability and test result validation. Implement and maintain Preventative Maintenance (PM) schedules for all EOL electrical test equipment. Develop a tracking system for managing all the projects conducted by the team and documenting them in Jira and other project management tools. Lead vehicle diagnostic and repair efforts, including root-cause analysis using UDS protocol, PCAP data analysis, and electrical schematic review. Use DMAIC methodology, MODAPTs analysis, and flow system programming to identify inefficiencies and drive continuous improvement in EOL operations. Develop training programs for technicians and operators, ensuring best practices in electrical repair standards Provide hands-on support to resolve complex electrical test failures and guide repair technicians on advanced diagnostics. Maintain a consistent balance between safety, quality, cost, and productivity in all EOL-related processes and initiatives. You Bring: Bachelor's Electrical or Mechanical Engineering (Master's preferred). 3+Automotive experience: End of line or Electrical Engineering Preferred. Proven experience in project management, from initiation through execution and closure. Hands-on experience with automotive tester equipment design or deployment is preferred. Ability to thrive in a fast-paced, high-precision environment, while maintaining a strong attention to detail. Possesses strong presentation skills and communicates clearly and professionally at various levels both inside and outside the company. Working knowledge of MES, DSA and EV LV system is required. 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. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid's equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.