Senior Staff Engineer jobs at Rivian - 1464 jobs

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

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

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

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

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

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

**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

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

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary As an engineer focusing on cellular and wireless integration for the Connected Systems Integration Team at R|V Tech, you will work alongside software developers, systems integrators, and system engineers to support features such as cellular, WiFi, Ethernet and GPS domains along with telematics, mobile app integration, and other Internet-dependent vehicle features, with a primary focus on cellular systems integration and bring-up. The cellular and wireless integration engineer will execute tests and integration of connectivity features and will also contribute to automation of these tests (in Python). The cellular and wireless integration engineer may also support other vehicle development activities which require connectivity support. These development activities may include drives in pre-production vehicles and will provide exposure to vehicle networks, cloud connectivity, and fleet management. The connectivity integration engineer may support time-critical test events and may be asked to support special investigations and projects. Responsibilities Your typical day looks like this: Attend meetings with development teams to understand new system designs and to align on test plans and expectations. Create design documentation and test plans for a new cellular feature implementation. Perform cellular testing using a specialized test chamber and test equipment; work with test equipment vendors to ensure compatibility and system integrity for automation. Perform complementary cellular testing on-vehicle using a prototype or fleet vehicle. Analyze logs from internal and external bugs to assess root cause of failure and create new work scope for dev teams. Core capabilities and behaviors should include: Strong fundamentals for test execution and documentation. The ability to correlate meaningful feedback from disparate data sets. Keen observation skills of wireless (WiFi, 5G, LTE, GPS, Bluetooth) behavior and performance. Deep understanding of telematics, end-to-end data routing and validation of data fidelity and frequency over different data links. Understanding of middleware and layered/encapsulated network schemes. Native Linux proficiency (command-line, tools, bring-up); embedded Linux a plus. Ability to identify and distinguish issues in hardware and/or software. Engage in discussions to test, bug fix, and optimize feature development based on data. Qualifications Bachelor's degree in either Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or Information Systems. Good understanding of 5GNR and LTE protocol stack. A working understanding of the OSI model and network protocols. Basic proficiency with scripting languages including Python and/or Shell. Basic proficiency with database manipulation and data presentation. Triage and diagnosis of complex connectivity issues to include root cause analysis, stability, and interoperability problems. A mindset geared towards collaboration and forward progress. Ability to thrive under pressure and time constraints. Availability to travel and/or support activities during off-peak hours as-needed. Pay Disclosure Salary Range/Hourly Rate for Palo Alto, California Based Applicants: $117,000 - $149,000 USD (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian and Volkswagen Group Technologies provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment. Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies 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 and VW Group Technologies (“Rivian and Volkswagen Group Technologies”) 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 and VW Group Technologies 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 and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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 see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. Please note that we are currently not accepting applications from third party application services. #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

At General Motors, we are building on our long-standing legacy of innovation and leadership in advanced driving technologies, exemplified by our industry-leading hands-off driving system, Super Cruise . Our Autonomous Vehicles (AV) program is driven by a bold ambition to deliver expanded product portfolios that push the boundaries of safe, reliable autonomous and assisted driving experiences. Central to this mission is our Architecture and System Design team, a critical hub that operates at the intersection of requirement definition, architecture and system design, integration, and validation across the AV organization. This team ensures a cohesive and robust system architecture that enables seamless integration of our AV technologies and delivers the high standards of safety and performance our customers expect. We are seeking an experienced **Staff Systems Engineer** to lead systems engineering efforts for our embedded AV/ADAS platform. You will be responsible for defining and managing system-level requirements and architectures, optimizing resource allocation across computational and networking subsystems, and working closely with software and hardware teams to ensure seamless integration of vehicle platform components. This role is highly collaborative, strategic, and technical, influencing platform roadmaps and long-term technical direction. Key Responsibilities + Lead the end-to-end systems engineering for embedded autonomous vehicle (AV) and advanced driver-assistance systems (ADAS) platforms. + Define, document, and manage system-level requirements, ensuring traceability and alignment with product and safety goals. + Develop and maintain system architecture, balancing trade-offs in compute resources (CPU, GPU, NPU), memory (RAM), and communication bandwidth (Ethernet). + Perform system resource allocation, profiling, and optimization to meet performance, power, latency, and reliability targets. + Collaborate cross-functionally with software architecture, firmware, hardware, validation, and vehicle integration teams to ensure cohesive system design and implementation. + Drive technical roadmap planning and contribute to strategic decisions on future platform capabilities and scalability. + Identify risks and develop mitigation strategies related to system integration and performance. + Mentor junior engineers and foster a culture of technical excellence and innovation within the team. Required Qualifications + Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline. Master's or PhD preferred. + Minimum 8+ years of systems engineering experience, ideally within embedded systems, automotive, robotics, or related industries. + Proven track record of leading system architecture design and resource allocation for complex embedded platforms. + Deep understanding of AV/ADAS domain including embedded computing platforms, sensor integration, and real-time constraints. + Strong expertise in system performance analysis and optimization, including CPU/GPU/NPU architectures, memory hierarchies, and network bandwidth management. + Experience with platform systems engineering: device power management, I/O, internal & external communication + Experience with edge compute SoC and MCU architectures. + Hands-on experience with system modeling, simulation tools, and requirements management frameworks. + Experience working with Ethernet-based automotive networks (e.g., Automotive Ethernet, TSN). + Familiarity with safety standards and practices (ISO 26262, ASPICE) is a plus. + Excellent communication skills and demonstrated ability to work effectively in cross-disciplinary teams. + Proven ability to navigate and solve problems characterized by high ambiguity Preferred Qualifications + Advanced degree (MS or PhD) with a focus on embedded systems, systems engineering, or related fields. + Experience with embedded Linux or RTOS environments in automotive or robotics applications. + Knowledge of AV software stacks, middleware, and sensor data processing pipelines. + Familiarity with system-level debugging, profiling, and telemetry tools. + Prior experience at a leading AV company or tier 1 automotive supplier. + Strong leadership skills with experience mentoring engineers and leading technical projects. + Understanding of power management and thermal constraints in embedded platforms. + Experience contributing to strategic technical roadmaps and platform evolution. **Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report to the Warren Technical Center in Warren, MI OR the Sunnyvale Technical Center in Sunnyvale, CA three times per week, at minimum. **Remote:** This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford, Sunnyvale or Mountain View], you are expected to report to that location three times per week, at minimum. **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 $157,100 and $258,500. 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 incentivepayprogram 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." This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. **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 Total Rewards resources (************************************************************* . **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 How we Hire (********************************************* . **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 (Careers.Accommodations@GM.com) 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ 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. Explore our global locations (******************************************** 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 Talent Community (beamery.com) (*********************************************** . 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. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.

Process HVAC Solutions, LLC is a systems automation provider for HVAC and mechanical systems in mission critical environments. We specialize in high tier level data centers and biotech/pharmaceutical facilities. Based in Lawrence, PA, PHS is looking for a well-qualified person to join a growing company as a Senior Field Engineer. Location: Lawrence, PA Primary Job Duties: Ability to perform and manage point-to-point wiring terminations, checkouts and drawing markups. Device equipment setup and install according to specifications and project drawings. Ability to calibrate and start-up field instrumentation, valve actuators, etc. Perform checkout and start-up of controls systems (DCS, PLC, others) and networks Efficiently troubleshoot control systems at the network, controller, I/O, and device level Set-up and troubleshoot PC system workstations Conduct diagnostics, identify and troubleshoot complex issues onsite to ensure systems meet performance standards and the project remains on track. Provide technical guidance to team throughout project to ensure successful commissioning. Support of customer contracts for 24/7 emergency response and preventive maintenance Ensure compliance with engineering plans, safety regulations and industry standards. Gather technical data from the field to support engineering analysis. Prepare and maintain detailed documentation for internal and client use. Mentoring of less experienced field engineers/technicians Requirements Job Requirements: BS in engineering (mechanical, electrical, or electro-mechanical preferred) or associate degree (HVAC, MET, EET, etc.) with 4 or more years of relevant experience Hands on experience with DCS, PLC, HMI and/or DDC systems; experience with Emerson's DeltaV, WonderWare, and Rockwell is a plus. Working knowledge of networks, especially ethernet, Modbus and bac NET serial/TCP Strong computer hardware troubleshooting and Microsoft OS and associated programs knowledge MEP/Construction experience and work with other trades Experience in directing workflow of sub-contractors is a plus. Will be able to read P&IDs, wiring diagrams and other electrical and mechanical drawings. Will be able to work with minimal supervision. Effective communication skills and ability to interface in professional manner with clients, other contractors and within PHS. Ability to travel to customer sites - job is 60-80% out-of-town work. Ability to lift and carry 50 lbs. Core Competencies: WORK COLLABORATIVELY - Promote an inclusive and positive work environment that encourages collaboration and team building across all levels of the organization. Work with others to resolve obstacles that may prevent the organization from achieving its mission. CUSTOMER FOCUS - Demonstrate the desire and knowledge to understand customer needs. Provide personalized, professional, and courteous service, accurate information, continuous communication, and the ability to handle customer concerns in an appropriate manner. INTEGRITY - Behave ethically, act fairly and take responsibility for accomplishing work goals. Additional Details: We provide our team with everything needed for success, including world-class products, excellent initial and ongoing training, and a top-notch work equipment. We reward hard work and success with a competitive base salary and benefits package, as well as a retirement savings program, which includes 401(k) with company match and profit sharing. Salary is based on experience. EEO/AA/M/F/Veteran/Disability

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 Imagine being at the heart of the electric revolution. Our team is developing the intelligent control systems that power everything from lightning-fast EV charging to smart home energy grids and the core power electronics within electric vehicles. We're not just building products; we're building a cleaner, more efficient future. Your Role: As a Sr. Power Electronics Controls Engineer, you'll be a key player in bringing these innovative power conversion systems to life. You'll be responsible for the entire journey of our control systems, from initial concepts to real-world impact. Responsibilities Pioneering Control: Designing and optimizing control algorithms for a diverse portfolio of power electronics applications, including EV chargers, bidirectional residential systems, and onboard vehicle power. Virtual Prototyping: Utilizing advanced simulation tools to evaluate circuit topologies and components, ensuring optimal performance and efficiency. Defining Intelligence: Translating application requirements into clear and effective controller specifications. Algorithm Innovation: Developing and implementing novel control strategies at both the system and component levels. Hands-on Validation: Rigorously testing and troubleshooting your control algorithms in both simulated and physical hardware environments. Digital Twin Development: Creating detailed power electronics models to analyze and verify the robustness and performance of your controllers across all operating conditions. System Integration: Defining comprehensive tests to validate your algorithms and their interaction with other system features. Team Up: Collaborating closely with talented system, electrical, and software engineers to achieve ambitious goals. Qualifications An MSc or PhD in Electrical Engineering specializing in Power Electronics or Controls (MSc with 3+ years of experience, PhD is a plus). A strong theoretical and practical understanding of power electronics control, with excellent analytical skills. You're familiar with the inner workings of AC/DC, DC/AC and DC/DC resonant converter topologies (Vienna, Totem Pole, DAB, LLC, and CLLC are in your vocabulary). Demonstrated ability to navigate ambiguity and develop robust control algorithms from scratch, covering software architecture, implementation, integration, and testing. Proven experience in developing, implementing, and verifying control algorithms for switching power converters using both simulation and hardware platforms. Expertise in MATLAB/Simulink and experience with power converter modeling tools (e.g., PLECS) and real-time simulation platforms (like Opal-RT, Typhoon HIL). Solid programming skills in C/C++ and Python, with a focus on writing high-quality code for embedded systems. A proactive, self-driven attitude with a strong attention to detail and the ability thrive in a dynamic, deadline-oriented environment Pay Disclosure Salary Range for Southern California Based Applicants: $135,100 - $168,900 (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 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. An MSc or PhD in Electrical Engineering specializing in Power Electronics or Controls (MSc with 3+ years of experience, PhD is a plus). A strong theoretical and practical understanding of power electronics control, with excellent analytical skills. You're familiar with the inner workings of AC/DC, DC/AC and DC/DC resonant converter topologies (Vienna, Totem Pole, DAB, LLC, and CLLC are in your vocabulary). Demonstrated ability to navigate ambiguity and develop robust control algorithms from scratch, covering software architecture, implementation, integration, and testing. Proven experience in developing, implementing, and verifying control algorithms for switching power converters using both simulation and hardware platforms. Expertise in MATLAB/Simulink and experience with power converter modeling tools (e.g., PLECS) and real-time simulation platforms (like Opal-RT, Typhoon HIL). Solid programming skills in C/C++ and Python, with a focus on writing high-quality code for embedded systems. A proactive, self-driven attitude with a strong attention to detail and the ability thrive in a dynamic, deadline-oriented environment Pioneering Control: Designing and optimizing control algorithms for a diverse portfolio of power electronics applications, including EV chargers, bidirectional residential systems, and onboard vehicle power. Virtual Prototyping: Utilizing advanced simulation tools to evaluate circuit topologies and components, ensuring optimal performance and efficiency. Defining Intelligence: Translating application requirements into clear and effective controller specifications. Algorithm Innovation: Developing and implementing novel control strategies at both the system and component levels. Hands-on Validation: Rigorously testing and troubleshooting your control algorithms in both simulated and physical hardware environments. Digital Twin Development: Creating detailed power electronics models to analyze and verify the robustness and performance of your controllers across all operating conditions. System Integration: Defining comprehensive tests to validate your algorithms and their interaction with other system features. Team Up: Collaborating closely with talented system, electrical, and software engineers to achieve ambitious goals.

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 In this position, you will design and develop the electrical aspect of the on-board power electronic products for Rivian Automotive, including on-board charger, DC-DC converter, DC-AC inverter product and et al. This position will be located out of Torrance, CA, and report to the Sr. Manager of Electronic 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 Perform topology selection trade studies Design circuits, select components, create schematics, and support the layout of circuit boards Analyze and simulate circuits and key components 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 the critical components design Test prototype power electronics circuits in the lab Characterize power semiconductor devices, including Silicon, SiC, and GaN Support software engineers who develop algorithms and application code for embedded controllers Engage with Mechanical, Systems, Test, Quality, Manufacturing, and Reliability Engineers Cooperate with other team members for critical technical test and decisions. Qualifications Minimum M.S. in Electrical Engineering (Ph.D. preferred), specializing in power electronics Minimum 1 year's experience developing high-power electronics Deep understanding of power semiconductor switches and diodes, and their characteristics Understanding of devices built upon various materials such as silicon, SiC, and GaN Strong experience designing and analyzing inverter and converter circuits, including gate drivers Knowledge and experience with embedded control of power electronic circuits Power converters and grid tie control PWM methods Power converter thermal analysis and protection Dual active bridge DC/DC modeling and control Experience with bidirectional power conversion Experience in EMI/EMC filter design for power electronics products Skilled in working in a lab environment with high voltage and current Experience using software tools such as Spice, PLECS, Mathcad, Ansys Simplorer, and Matlab Experience using FEA simulation tools such as Ansys Maxwell/Q3D or equivalent 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 (Ph.D. preferred), specializing in power electronics Minimum 1 year's experience developing high-power electronics Deep understanding of power semiconductor switches and diodes, and their characteristics Understanding of devices built upon various materials such as silicon, SiC, and GaN Strong experience designing and analyzing inverter and converter circuits, including gate drivers Knowledge and experience with embedded control of power electronic circuits Power converters and grid tie control PWM methods Power converter thermal analysis and protection Dual active bridge DC/DC modeling and control Experience with bidirectional power conversion Experience in EMI/EMC filter design for power electronics products Skilled in working in a lab environment with high voltage and current Experience using software tools such as Spice, PLECS, Mathcad, Ansys Simplorer, and Matlab Experience using FEA simulation tools such as Ansys Maxwell/Q3D or equivalent 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 Perform topology selection trade studies Design circuits, select components, create schematics, and support the layout of circuit boards Analyze and simulate circuits and key components 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 the critical components design Test prototype power electronics circuits in the lab Characterize power semiconductor devices, including Silicon, SiC, and GaN Support software engineers who develop algorithms and application code for embedded controllers Engage with Mechanical, Systems, Test, Quality, Manufacturing, and Reliability Engineers Cooperate with other team members for critical technical test and decisions.

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.