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 @ 6
Agentic AI @ 6
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’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. The Image Quality team makes this possible with the Image Signal Processor and AI inside NVIDIA’s system-on-chip. The mission is to deliver image quality that sets the benchmark for people and AI models, within reach of every developer.
The Sensor Image Quality ecosystem program team works with customers and partners advancing physical AI, from simulation to real-world deployment, across drones, autonomous mobile robots, humanoid robots, and autonomous vehicles. Partners include AI developers, sensor and module vendors, robotics and automotive OEMs, and tuning partners across the United States, Europe, and Asia. NVIDIA is expanding the camera ecosystem with AI-assisted and self-serve tools that enable partners to deliver high-quality images independently.
Responsibilities
- Recruit, grow, and lead a team of technical program managers 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 to scale bug triage, partner feedback, and support across the ecosystem.
Requirements
- 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, including 3+ years managing technical program managers or engineers.
- Familiarity with image sensors, the Image Signal Processor 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, with judgment about where it can fail.
Preferred Qualifications
- 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, including Argus and SIPL.
Benefits
The role offers equity, benefits, a competitive salary, and a generous benefits package. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive, equal-opportunity work environment.
Applications will be accepted at least until October 12, 2026. This posting is for an existing vacancy.