Tech Stack
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About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Hiring @ 4
Leadership @ 7
Robotics @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is advancing AI and accelerated computing for applications including robotics and self-driving vehicles. The Autonomous Vehicles Program Management team is seeking an experienced manager to own the end-to-end development of new autonomous driving features for NVIDIA's autonomous vehicle platform.
The role will lead software development execution for NVIDIA's autonomous driving software stack, supporting automakers, Tier 1 suppliers, automotive research institutions, and startups developing autonomous cars, trucks, shuttles, and taxis.
Responsibilities
- Own the delivery roadmap and health of autonomy software programs, aligning execution with vehicle programs and customer timelines.
- Lead and grow a team of experienced technical program managers, including hiring and professional development.
- Personally lead critical and technically demanding programs by participating in design reviews, integration planning, and issue investigations.
- Partner with program, product, and engineering leaders to turn strategy and ambiguous goals into executable plans with defined scope, milestones, accountable owners, and measurable outcomes.
- Establish and run program governance, including planning, execution tracking, risk management, and reporting.
- Drive cross-functional delivery of software features across engineering, testing and validation, regulatory, and customer teams.
- Resolve complex interdependencies and systemic risks.
- Build partnerships across software, testing, regulatory affairs, and vehicle program teams.
- Serve as the primary escalation point and senior representative in cross-functional and executive forums.
- Provide concise updates that translate complex technical and regulatory risks into decision points and recommendations.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- At least 4 years of experience leading a team.
- At least 8 years of overall relevant experience.
- Proven experience in automotive, perception, path planning, robotics, and/or artificial intelligence.
- Strong leadership and interpersonal skills.
- Demonstrated ability to collaborate on global projects across teams and time zones.
Preferred Qualifications
- Experience leading the end-to-end development of ADAS or self-driving features.
- Experience as a software engineer, software quality assurance engineer, or systems engineer.
- Experience in a fast-paced automotive OEM or supplier environment.
Benefits
The role includes eligibility for equity and NVIDIA benefits.
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