Sr. Staff Engineer, Perception AI Mapping

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 The Perception Mapping Lead will drive the expansion of mapping capabilities across both consumer and robotaxi autonomy platforms. This position involves collaborating closely with the broader autonomy organization to define our long-term mapping strategy and taking direct responsibility for delivering the necessary perception components. Depending on experience, this role may also encompass hiring and managing a team of individual contributors to support these initiatives. Responsibilities Collaborate with the broader autonomy organization to develop and refine the mapping strategy for consumer and robotaxi platforms. Design, build, evaluate, deploy, and maintain the core perception components critical to the mapping infrastructure. Ensure robust integration and deterministic performance of mapping software within real-time, safety-critical systems. Recruit, mentor, and manage individual contributors to support the team's expanding scope (optional based on candidate experience). Qualifications Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field. Extensive experience developing the perception systems used for map generation and maintenance, specifically utilizing Machine Learning, Computer Vision, SLAM, and state estimation. Proven track record in software engineering and systems design for building, maintaining, and distributing map data at scale. Deep understanding of various map representations—including high-definition (HD) and standard-definition (SD) frameworks—and their specific utility within autonomous vehicle stacks. Broad comprehension of full-stack perception systems, including modern development tools, testing frameworks, and validation processes. Demonstrated ability to isolate and root-cause complex engineering issues across the software stack and implement reliable, real-time solutions. Strong capability to drive technical progress across complex systems spanning multiple domains, components, and stakeholders. Excellent cross-functional coordination, problem-solving, and communication skills within a fast-paced engineering environment. Pay Disclosure The salary range for this role is $265,000 - $331,000 for California 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. 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. 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. 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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. 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Collaborate with the broader autonomy organization to develop and refine the mapping strategy for consumer and robotaxi platforms. Design, build, evaluate, deploy, and maintain the core perception components critical to the mapping infrastructure. Ensure robust integration and deterministic performance of mapping software within real-time, safety-critical systems. Recruit, mentor, and manage individual contributors to support the team's expanding scope (optional based on candidate experience).

Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field. Extensive experience developing the perception systems used for map generation and maintenance, specifically utilizing Machine Learning, Computer Vision, SLAM, and state estimation. Proven track record in software engineering and systems design for building, maintaining, and distributing map data at scale. Deep understanding of various map representations—including high-definition (HD) and standard-definition (SD) frameworks—and their specific utility within autonomous vehicle stacks. Broad comprehension of full-stack perception systems, including modern development tools, testing frameworks, and validation processes. Demonstrated ability to isolate and root-cause complex engineering issues across the software stack and implement reliable, real-time solutions. Strong capability to drive technical progress across complex systems spanning multiple domains, components, and stakeholders. Excellent cross-functional coordination, problem-solving, and communication skills within a fast-paced engineering environment.