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Nvidia Senior Manager Chip Architecture 
United States, California 
269975294

28.07.2025
US, CA, Santa Clara
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

What you’ll be doing:

  • Drive GPU architectures starting from exploration phase all the way to silicon tape out and bring-up as the architecture chip manager.

  • Lead a virtual chip team of IPs and domain experts. Drive architecture deliverables from initial investigations, determining plan of record, architecturespecifications,functional and performance models, validation, and chip bring up.

  • Serve as the architecture team’s point of contact for the chip and interface to ASIC, Software, Business and Silicon productization teams.

  • Work with competitive analysis, perf/power/cost modeling teams and partner with business units on product definitions.

  • Define and drive the project milestones working with software and ASIC counterparts to align dependencies and meet schedules.

  • Track execution progress and metrics, provide project status updates, recognize, and escalate problems and drive resolution/tradeoffs between schedule and features.

  • Drive continuous improvement through measuring and analyzing effectiveness/value of architecture features and the team’s execution efficiency.

What we need to see:

  • A Bachelor’s , Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering or related relevant field (or equivalent experience)

  • 12+ overall years of experience in GPU and system architecture background and exposure to HW/SW interfaces, OS, drivers

  • 5+ yrs of exp leading teams towardsdeliveringchips and completed products

  • Strong project management skills and ability to drive/influence a large team in a matrixed environment. Experience with project planning, staffing and schedule estimation.

  • Background with functional and performance validation models and methodologies.

  • Familiarity with performance and power projection methodologies and ability to analyze perf/w and perf/$ tradeoffs.

  • Familiarity with latest process , DRAM, and IO technologies

  • Prior exposure to one or more of Deep Learning, GPU compute, Computer Graphics is a strong plus.

You will also be eligible for equity and .