Senior Technical Program Manager - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 168,000-322,000 per year

SENIOR

✅ On-site

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 Jira @ 4 Leadership @ 7 Machine Learning @ 4 Robotics @ 4

Details

If you're passionate about autonomous vehicles, the Autonomous Vehicles Product/Program Management team is seeking an experienced Technical Program Manager to lead the end-to-end development of new autonomous driving features. The role is responsible for software development execution across the autonomous driving software stack and involves working with automakers, Tier 1 suppliers, automotive research institutions, and startups developing self-driving cars, trucks, shuttles, and taxis.

Responsibilities

Lead automotive software development across multiple engineering teams working on ADAS and autonomous driving features.
Work with engineering leads to define products and roadmaps, develop schedules, and drive execution and tracking across the organization.
Coordinate release content and efforts with program managers and engineering managers responsible for individual components.
Establish metrics to assess and improve product quality and execution.
Develop a strong technical understanding of the software stack to proactively identify and hand off technical challenges and resolve issues affecting scope, schedule, and quality.
Regularly communicate program status and key issues to management and cross-functional teams.

Requirements

Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
8+ years of experience in a similar or related role.
Experience planning and executing complex software engineering projects and delivering new products or features to users.
Proven experience in automotive, robotics, and/or artificial intelligence.
Strong leadership and interpersonal skills.
Demonstrated ability to collaborate on global projects across large organizations.

Preferred Qualifications

Proven experience leading end-to-end development of ADAS, autonomous vehicles, and/or machine learning systems.
Experience with Jira and/or Jama, including the ability to guide engineering teams in using these tools.
Experience with startups and/or early-stage products.

Compensation and Benefits

Base salary range of USD 168,000–258,750 for Level 4.
Base salary range of USD 200,000–322,000 for Level 5.
Eligibility for equity and benefits.
Salary is determined based on location, experience, and compensation for employees in similar positions.

The application deadline is at least March 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.