Senior System Engineering Program Manager – Silicon Co-design
About The Position
NVIDIA's Silicon Co-Design Group (SCG) operates at the nexus of architecture, silicon, systems, and manufacturing, tackling the complex challenge of ensuring these components work harmoniously in chip development. This is a role of ownership and decision-making, not just coordination. The ideal candidate will define the program's operational model, cadences, and governance, translate strategy into actionable roadmaps, and proactively identify program health issues before they escalate into crises. The role requires decisiveness under pressure and a commitment to improving systems after each program. Exceptional candidates will leverage AI as a deliberate force multiplier. This Program Manager role focuses on the operational aspects of work across SCG-ArchDesign, including the operating model, execution methodology, and the improvements the Program Execution function relies upon, distinct from a Technical Program Manager who owns technical interlock across the silicon-system-software boundary.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- equity
- benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
