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Senior System Engineering Program Manager – Silicon Co-design

US, CA, Santa Clara; US, TX, Austin
Full Time On-site

Summary

Job Description

NVIDIA's Silicon Co-Design Group sits at the intersection of architecture, silicon, systems, and manufacturing. SCG owns the hardest problem in chip development: making them all work together. This is an ownership role, not a coordination role. We need a Senior Program Manager who defines how the program operates and makes the call when the room is waiting. You set the operating model, cadences, and governance; translate strategy into actionable roadmaps; and surface program-health signals before they become crises. You are decisive under pressure and improve the system after every program. The exceptional hire uses AI deliberately — as a demonstrated force multiplier, not a credential.

What you will be doing:

  • Own end-to-end execution methodology: cadences, governance, achievement definitions, reporting, and critical issue paths.

  • Make forward-moving calls in high-visibility settings under tight turnaround — even without being the deepest technical expert.

  • Define, track, and own program health KPIs: schedule alignment, velocity, delivery quality, and dependency closure.

  • Apply statistical analysis and trend detection to surface risks invisible to any single function.

  • Own alignment across engineering, operations, product, and executive leadership.

  • Close risks — don't just report them.

  • Deploy new processes by earning trust and demonstrating value.

  • Capture lessons and drive measurable improvements in speed, quality, and predictability.

What we need to see:

  • Bachelor's in Engineering, Business, or related field or equivalent experience; MBA/master's a plus.

  • 10+ overall years in technical or engineering organizations; 5+ years in program management, ideally in semiconductor or complex hardware environments.

  • Working knowledge of silicon, system, and product design cycles — judgment over technical mastery.

  • Proven composure and decisiveness under pressure and high visibility.

  • Track record building program infrastructure from scratch.

  • Strong analytical capability — data, statistics, and trend analysis to drive decisions, not just report status.

  • Demonstrated AI workflow impact.

Ways to stand out from the crowd:

  • Built a program operations function from the ground up that outlasted their tenure.

  • Owned high-stakes decisions in executive reviews, escalations, or live crises without deferring to the most senior engineer.

  • Driven organizational change in engineering cultures through earned trust, not enforced compliance.

  • Rolled out AI productivity tools with concrete, evidence-backed improvements to program outcomes.

NVIDIA is widely considered 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. If you build things others depend on, decide with conviction when it counts, and leave systems better than you found them, we want to hear from you.

#LI-Hybrid

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.

Applications for this job will be accepted at least until June 29, 2026.

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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