The role is part of the Perception team at Rivian, focusing on developing machine learning algorithms for safety-critical self-driving features. The team is dedicated to creating innovative solutions that enhance the Rivian Autonomy Platform. The position involves overseeing the entire lifecycle of projects related to onboard Perception functionality. Candidates will work in a dynamic environment that values diverse backgrounds and a passion for the outdoors.

• B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field
• 5+ years of experience building and deploying large-scale ML systems
• Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation
• Strong software engineering background, with fluency in Python and C++
• Experience training and evaluating transformer models or end-to-end autonomous agents
• Familiarity with real-time inference systems and autonomous vehicle constraints
• Proven leadership in driving ML projects from research to production

• Be independently responsible for the entire lifecycle of projects or features including engineering design, development, deployment, testing and maintenance.
• Develop production ready software to run on our vehicles and in the cloud.
• Develop perception capabilities using tools from machine learning, state estimation, and robotics.
• Develop tools and processes to evaluate and measure the performance of the perception system.
• Work with the broader team to ensure that our Perception outputs are integrated to deliver a great experience to customers.

• Employees at Rivian are often offered comprehensive health, dental, and vision insurance, a 401(k) with company match, ESPP and potential RSU grants, performance bonuses, and generous time off including paid parental and sick leave. Perks can include 24/7 mental-health coaching and therapy, Hinge Health for Anthem enrollees, tuition assistance and professional development, plus on-site food and a wide range of employee discounts on items like computers, mobile phones, home loans, and pet care.