If you're passionate about autonomous vehicles, we would love to hear from you! The Autonomous Vehicles Product/Program Management team is searching for an experienced Technical Program Manager to lead the end-to-end development of new autonomous driving features. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Autonomous Vehicles Team, you will be a key leader responsible for the software development execution of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis.
What you'll be doing:
- Leading automotive software development across multiple engineering teams related to ADAS/Autonomy features.
- Working with the engineering leads to define product and roadmaps, develop schedules, and drive the execution and tracking of these across the organization.
- Coordinating release content and efforts with multiple program managers and engineering managers who own individual components.
- Establishing metrics to assess and improve product quality and execution.
- Develop a strong technical understanding of the stack, to proactively identify and hand technical challenges, and resolving issues that affect scope, schedule and quality.
- Regularly communicating the program status and key issues to management and multi-functional teams within the organization.
What we need to see:
- BS/MS Computer Science, Electrical Engineering or related field (or equivalent experience) with 8+ years of experience in a similar or related role
- Experience working in driving the planning and execution of complex software engineering projects, and new products or features to users.
- Proven experience in Automotive, Robotics and/or AI.
- Strong leadership and interpersonal skills. Demonstrated ability to collaborate on global projects across large organizations
Ways to stand out from the crowd:
- Proven experience leading end-to-end development of ADAS, autonomous vehicles and/or machine learning
- Experience with Jira and/or JAMA, to the point that you can comfortably guide an engineering team how to use these tools.
- Experience with start-ups and/or early-stage products
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 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 new products or features
- Proven experience in automotive, robotics, and/or artificial intelligence
- Strong leadership and interpersonal skills
- Ability to collaborate on global projects across large organizations
- Experience leading end-to-end development of ADAS, autonomous vehicles, and/or machine learning
- Experience with Jira and/or JAMA
- Experience with startups and/or early-stage products
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
