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. Our DRIVE platform gives automakers, Tier 1 suppliers, and start-ups the power and flexibility to develop and deploy breakthrough AI systems for autonomous vehicles — today powering over 270 partners in the development of autonomous cars, trucks, shuttles, and taxis!
We are looking for a creative and experienced Senior Technical Program Manager to join the NVIDIA DRIVE AV Platform team and help bring NVIDIA's autonomous vehicle platform to the world! You will lead a focused effort to productize groundbreaking solutions that will redefine transportation and the growing field of self-driving cars. You will work with dedicated multi-functional engineering teams across vehicle subsystems — software, hardware, validation, and systems — to integrate their work into our autonomous DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. The work is exciting, impactful, and fast-paced. We have customers and competition.
What you'll be doing:
- Lead multiple, concurrent complex programs & projects across the autonomous driving platform.
- Drive new platform technologies from bringup to production across software, hardware, vehicle, and validation teams.
- Manage automotive software development and releases in a highly dynamic environment.
- Define scope and manage project roadmaps, schedules, and milestones with cross-functional engineering teams.
- Handle risks and resolve issues that affect release scope, schedule, and quality.
- Identify and manage cross-functional dependencies proactively.
- Improve processes and procedures within the team. Streamline day-to-day operations.
- Communicate regularly to manage expectations and provide timely updates on progress, risks, and decisions.
What we need to see:
- BS/MS in Computer Science or related field (or equivalent experience)
- 12+ years of industry and Technical Program Management experience in software engineering and releasing commercial products.
- Track record of delivering scalable programs and process improvements in fast-paced, multi-functional environments.
- Experience driving adoption of new and improved process workflows.
- Strong technical acumen across software and hardware platforms.
- Strong communication, organizational, and leadership skills.
- Self-starter with a “can-do” attitude.
Ways To Stand Out From The Crowd:
- Previous experience & lived a life as a software developer or software QA engineer. Understand the pressures they are under, allowing you to more optimally lead them in projects as well as process.
- Background in embedded systems (OS, platform drivers, sensors, middleware) or other software close to the hardware stack.
- Experience in Automotive system integration.
- Experience with Jira and/or JAMA, to the point that you can be comfortable mentoring an engineering team how to use these tools with agility.
- Expertise in Agile and Scrum methodology.
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
- BS or MS in Computer Science or a related field, or equivalent experience
- 12+ years of industry and technical program management experience in software engineering and releasing commercial products
- Track record of delivering scalable programs and process improvements in fast-paced, multifunctional environments
- Experience driving adoption of new and improved process workflows
- Strong technical acumen across software and hardware platforms
- Strong communication, organizational, and leadership skills
- Self-starter with a can-do attitude
- Previous experience as a software developer or software QA engineer
- Background in embedded systems, including operating systems, platform drivers, sensors, or middleware
- Experience with automotive system integration
- Experience with Jira and/or JAMA
- Expertise in Agile and Scrum methodologies
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.”
