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 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 Staff Electronic Design Engineer for the Autonomy Sensing Systems team, you will be a core contributor to the architecture, development, deployment, and optimization of advanced sensing systems driving safety-critical, customer-facing features for Rivian’s autonomous vehicles. This is a critical position responsible for the architectural definition and detailed PCBA design of high-performance Radar sensor, including RF front-end, processing, power and high-speed signaling. The ideal candidate will possess a deep understanding of electronic design principles and a proven track record of bringing complex, high-speed designs from concept through production and beyond. Beyond initial development, you will serve as a technical anchor for the company, leading the debugging of field issues and navigating supply chain-driven hardware changes post product launch. You will be a key contributor to a multidisciplinary team, collaborating across software, mechanical, thermal, reliability, and systems domains to deliver and maintain robust, high-performance autonomy solutions. Responsibilities Own the design and development of electrical system design for next generation Radar sensing systems & high performance compute systems Drive PCBA architecture, BOM selection, and design for manufacturing Perform detailed RF analysis of the PCBA, including simulations using tools such as HFSS, to inform a robust system design and isolation between RF and digital domains Drive schematic capture and provide rigorous PCB layout guidance to ensure performance, reliability, and manufacturability Drive the validation plan for your product by defining test requirements, taking key measurements, and collaborating with validation engineers Characterize RF performance through bench & chamber testing, field analysis to ensure performance Coordinate with mechanical engineers for module packaging, manufacturing, and thermal performance Drive production cycle in partnership with external vendors and CMs Lead troubleshooting processes and train junior engineers and/or technicians on how to implement them Qualifications Master’s or PhD degree in Electrical Engineering (or related fields) with 10+ years experience Detailed understanding of RF design requirements Strong EE fundamentals including power, high speed, computer architecture, analog, and mixed signal design Experience in design and validation of high speed signaling Proficiency in schematic capture and design layout tools (Altium Designer and OrCAD) Signal integrity Analysis experience using tools such as Ansys HFSS or Keysight ADS. Solid understanding of signal integrity (SI) and power integrity (PI) principles, with experience specifying PCB stack-up requirements. Experience with automotive industry standards and processes (e.g., ISO 26262, AEC-Q100). Ability to write or modify scripts (Python, Bash) to automate data generation and hardware testing on high-speed interfaces. Experience performing impact analysis and validation for component substitutions in a high-volume production environment. Deep understanding of product development and managing technical risk Excellent communication skills to both technical and non-technical audiences Hands-on experience with laboratory equipment for hardware bring-up, characterization, and methodical root cause analysis. Pay Disclosure Pay Range: The salary range for this role is $186,000 - $232,000 annually for Bay Area based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs. The successful candidate may be eligible for annual performance bonus and equity awards. Benefits: We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com. You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than 11/25/2026. 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 and Technology 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. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate. Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way. Interview Integrity & AI Policy Our interview process is designed to evaluate your personal technical foundation, real-time problem-solving logic, and structured capabilities. Therefore, the use of assistive generative AI tools to formulate or deliver your solutions during live interview sessions is not permitted. We care most about how you think - how you make sense of unclear requirements, weigh trade-offs, and explain why you chose one approach over another. We value your unique human perspective, your authenticity, and the journey it takes to reach a solution. Please note that we are currently not accepting applications from third party application services. Own the design and development of electrical system design for next generation Radar sensing systems & high performance compute systems Drive PCBA architecture, BOM selection, and design for manufacturing Perform detailed RF analysis of the PCBA, including simulations using tools such as HFSS, to inform a robust system design and isolation between RF and digital domains Drive schematic capture and provide rigorous PCB layout guidance to ensure performance, reliability, and manufacturability Drive the validation plan for your product by defining test requirements, taking key measurements, and collaborating with validation engineers Characterize RF performance through bench & chamber testing, field analysis to ensure performance Coordinate with mechanical engineers for module packaging, manufacturing, and thermal performance Drive production cycle in partnership with external vendors and CMs Lead troubleshooting processes and train junior engineers and/or technicians on how to implement them Master’s or PhD degree in Electrical Engineering (or related fields) with 10+ years experience Detailed understanding of RF design requirements Strong EE fundamentals including power, high speed, computer architecture, analog, and mixed signal design Experience in design and validation of high speed signaling Proficiency in schematic capture and design layout tools (Altium Designer and OrCAD) Signal integrity Analysis experience using tools such as Ansys HFSS or Keysight ADS. Solid understanding of signal integrity (SI) and power integrity (PI) principles, with experience specifying PCB stack-up requirements. Experience with automotive industry standards and processes (e.g., ISO 26262, AEC-Q100). Ability to write or modify scripts (Python, Bash) to automate data generation and hardware testing on high-speed interfaces. Experience performing impact analysis and validation for component substitutions in a high-volume production environment. Deep understanding of product development and managing technical risk Excellent communication skills to both technical and non-technical audiences Hands-on experience with laboratory equipment for hardware bring-up, characterization, and methodical root cause analysis.
