NVIDIA’s DRIVE and Jetson platforms are the brains of physical AI. Cameras are its eyes. Better image quality leads to smarter outcomes: a robot choosing the right part, a car recognizing pedestrians at dusk, and a surgeon seeing tissue in detail. Our Image Quality team makes this possible with the Image Signal Processor and AI inside NVIDIA’s system-on-chip. Our mission is image quality that sets the benchmark for people and AI models, within reach of every developer.
We are hiring a Senior Manager to lead our Sensor Image Quality ecosystem program team. The team works with customers and partners advancing physical AI, from simulation to real-world deployment, on everything from drones and AMRs to humanoid robots and autonomous vehicles. They include AI developers, sensor and module vendors, robotics and automotive OEMs, and tuning partners across the US, Europe, and Asia. Our camera ecosystem is growing fast. We’re meeting that growth with AI-assisted and self-serve tools, so every partner can deliver great image quality on their own. Come help define how physical AI sees the world!
What you’ll be doing:
- Recruit, grow, and lead a team of TPMs running image quality programs across Jetson and DRIVE.
- Set priorities across the camera ecosystem portfolio, direct engineering time, and represent NVIDIA in executive-level meetings.
- Lead the launch of a partner image quality certification program and AI-powered tuning tools.
- Own image quality readiness and critical issues for each software release.
- Build agentic AI workflows that scale bug triage, partner feedback, and support across the ecosystem.
What we need to see:
- BS or MS in Electrical Engineering, Computer Engineering, Computer Science, Imaging Science, or a related field, or equivalent experience.
- 12+ years in software, imaging, or technical program management, including 3+ years managing TPMs or engineers.
- Familiarity with image sensors, the ISP pipeline, and image quality evaluation.
- Proven experience delivering embedded software or SDK releases with external partners, from startups to global OEMs, and presenting to partner executives.
- Hands-on use of agentic AI in program management, and judgment about where it fails.
Ways to stand out from the crowd:
- Hands-on ISP tuning, camera characterization, or image quality lab experience.
- Experience launching a partner certification or developer program.
- Camera programs in automotive and robotics, ideally on NVIDIA Jetson or DRIVE camera software (Argus, SIPL).
With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.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 Electrical Engineering, Computer Engineering, Computer Science, Imaging Science, or a related field, or equivalent experience
- 12+ years of experience in software, imaging, or technical program management
- 3+ years managing technical program managers or engineers
- Familiarity with image sensors, ISP pipelines, and image quality evaluation
- Experience delivering embedded software or SDK releases with external partners, from startups to global OEMs
- Experience presenting to partner executives
- Hands-on use of agentic AI in program management and judgment about its limitations
- Hands-on ISP tuning, camera characterization, or image quality laboratory experience
- Experience launching a partner certification or developer program
- Camera program experience in automotive and robotics, ideally with NVIDIA Jetson or DRIVE camera software such as Argus and SIPL
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.”
