Staff Technical Program Manager - Autonomous Vehicle Platform
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
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 @ 4
Agile @ 6
Communication @ 7
Jira @ 6
Leadership @ 7
Linux @ 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 defining the next era of computing, tapping into the unlimited potential of AI to power computers, robots, and self-driving cars that can understand the world. The NVIDIA DRIVE platform gives automakers, Tier 1 suppliers, and start-ups the power and flexibility to develop and deploy AI systems for autonomous vehicles. It currently powers more than 270 partners developing autonomous cars, trucks, shuttles, and taxis.
The DRIVE AV Platform team is seeking a deeply technical and experienced Senior Technical Program Manager to lead efforts to productize solutions for autonomous transportation. The role works closely with multifunctional engineering teams across software, hardware, validation, and systems to integrate their work into the autonomous DRIVE software platform while meeting or exceeding NVIDIA and automotive standards and guidelines.
The successful candidate will have software engineering depth in embedded systems and platform software, and will drive engineering teams with technical credibility, attention to detail, and AI-enabled automation.
Responsibilities
- Lead multiple concurrent, complex programs across the autonomous driving platform, from embedded platform bring-up through production release.
- Drive new platform technologies across the full stack, including embedded operating systems, platform drivers, middleware, sensor integration, and validation.
- Manage automotive software development and releases in a dynamic environment while maintaining quality across rapid release cadences.
- Translate deep embedded and software knowledge into actionable program structures, including scope, roadmaps, schedules, and milestones.
- Identify and resolve risks and issues affecting release scope, schedule, and quality, particularly those spanning software and hardware boundaries.
- Proactively identify and lead multifunctional dependencies across global engineering teams.
- Improve team processes and procedures and streamline day-to-day operations through scalable engineering workflows using AI.
- Communicate regularly with team members to set shared expectations and provide timely updates on progress, risks, and decisions.
Requirements
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- At least 12 years of proven experience, including at least 8 years in Technical Program Management driving software engineering programs and releasing commercial products.
- Strong understanding of embedded systems software, including operating system fundamentals such as Linux, QNX, or similar real-time operating systems, platform drivers, sensor middleware, and software/hardware integration.
- Strong technical competence to engage deeply with engineering teams, debug program-level issues, and make sound trade-off decisions across software and hardware domains.
- Proven track record of delivering scalable, complex programs in fast-paced, multifunctional environments.
- Strong communication, organizational, and leadership skills, including the ability to translate technical complexity into streamlined executive updates and drive alignment across large organizations.
Preferred Qualifications
- Experience shipping embedded software in automotive, robotics, or a related domain for constrained, safety-relevant hardware.
- Direct experience in autonomous vehicle platform development, including ADAS software integration, sensor fusion stacks, or platform validation.
- Familiarity with automotive-grade software standards such as ISO 26262 and ASPICE, and their interaction with program execution.
- Experience leading global programs across time zones with geographically distributed engineering teams.
- Expertise in Agile and Scrum methodologies.
- PMP or Scrum Master certification is a plus.
- Proficiency with Jira and PMP tools at scale.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
The base salary range is USD 200,000–322,000 for Level 5 and USD 240,000–379,500 for Level 6. The base salary is determined based on location, experience, and the pay of employees in similar positions. Applications will be accepted at least until October 30, 2026. NVIDIA uses AI tools in its recruiting processes.