Senior Tech Lead, Perception Autonomy: Autolabeling

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

Auto-labelling is a foundational pillar of the Autonomy stack. In this Senior Tech Lead Manager (TLM) role, you will own, architect, drive and deliver the overarching strategy for Lidar-free auto-labeling at large scale. This scope includes mapping, lanes auto-labelling, object auto-labelling, scaling as well as other critical applications. You will ship production-grade models that push the boundaries of what’s possible. As such, you will also own the whole end-to-end ML lifecycle of this scope: data acquisition, metrics definition, evaluation, model performance optimization, feedback loop. You will also work broadly with the rest of the Autonomy org to continuously improve and expand the capabilities of the system as well as defining the requirements. As TLM, this role will include managing individual contributors (IC) supporting those activities.

Responsibilities

• Own, architect, drive and deliver the overarching strategy for Lidar-free auto-labeling at large scale. This scope includes AV mapping, lanes auto-labelling, object auto-labelling and scaling.
• Ship production-grade, scalable auto-labeling models.
• Have a holistic understanding of the entire AV perception stack and work with the teams to define how we measure and monitor performance of the auto-labeling system.
• Work with the team to drive progress in improving the performance. Establish rigorous evaluation and monitoring benchmarks. Identify and root-cause top-tier system anomalies, prioritizing high-impact optimizations to continuously push the needle on performance.
• Partner closely with the Autonomy group to ensure we meet the feature requirements
• Define system requirements and guide cross-functional efforts through technical trade-off decisions.
• Manage individual contributors (IC) responsible for supporting the aforementioned responsibilities

Qualifications

• Education:BS, MS, or PhD in Computer Science, Robotics,Electrical Engineering, or a highly related quantitative field.
• Experience:7+ years of professional experience scalingML solutions, with a strong focus on the following:
  • AV auto-labeling system at scale: Proven track record of hands-on experience delivering an auto-labeling system for Autonomous Vehicles at scale. Auto labeling for mapping, lanes auto-labelling and/or object auto-labelling.
  • Auto-labeling architect: Experience with owning, drivingand delivering an auto-labeling strategy for AV.
  • Perception stack: holistic understanding of the entireAV perception stack.
  • System engineering: Strong proficiency in Python alongsidea solid understanding of modern Perception pipelines, benchmarking tools, and infrastructure.
  • Execution: Demonstrated ability to drive progressacross a complex system spanning multiple domains and components, across a distributed, cross-functional stack in a fast-paced environment.
  • Team management: experience managing software, roboticsand/or machine learning teams.

Preferred Qualifications

• Strong experience in Lidar-free lane auto-labeling
• Strong experience in mapping, especially from multiple vehicle passes
• Experience in driving training data strategy, includingdefining data annotation guidelines, partnering effectively with in-house and external 3P annotation vendors.
• Experience with multiple modalities (e.g., cameras, LiDAR, Radar).
• Experience with onboard edge deployment, cloud inference architectures, and balancing compute/efficiency trade-offs.
• Experience with quantization techniques (PTQ, QAT) and high-performance inference engines like TensorRT.

Pay Disclosure

The salary range for this role is $265,000-331,300 for San Francisco 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.

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.

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 [email protected].

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.

Please note that we are currently not accepting applications from third party application services.