Senior GPU Architect - Performance and Yield Optimization

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Hardware, Embedded & Systems EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Quantify tradeoffs","Influence cross-functional decisions","Constraint-based reasoning","Optimization reasoning","Analytical thinking"]

Shape GPU architectures to improve product yield while keeping performance and architectural simplicity. Analyze how manufacturing defects impact architectural resources and develop methods to isolate or disable affected regions without losing useful functionality. Build software tools and models that translate architectural and product requirements into rules and constraints, then create optimization techniques to explore large configuration spaces. Collaborate across architecture, performance, design, silicon, operations, and software to move selected proposals into production.

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NVIDIA
NVIDIA
1 day ago

Senior GPU Architect - Performance and Yield Optimization

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Shape GPU architectures to improve product yield while keeping performance and architectural simplicity. Analyze how manufacturing defects impact architectural resources and develop methods to isolate or disable affected regions without losing useful functionality. Build software tools and models that translate architectural and product requirements into rules and constraints, then create optimization techniques to explore large configuration spaces. Collaborate across architecture, performance, design, silicon, operations, and software to move selected proposals into production.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Shape GPU architectures to improve product yield while maintaining performance and architectural simplicity.
  • •Analyze manufacturing defects’ impact on architectural resources and develop isolation/disable approaches for affected regions.
  • •Build software tools and models that capture architectural, performance, and product requirements as rules and constraints.
  • •Develop optimization techniques to explore large configuration spaces and identify viable product configurations.
  • •Evaluate yield, performance, area, cost, complexity, and flexibility, and collaborate cross-functionally to move proposals into production.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field (or equivalent experience) plus 10+ years in GPU, CPU, SoC, or complex processor architecture.
  • •Strong understanding of GPU architecture, the overall execution pipeline, and interactions across major GPU subsystems.
  • •Strong computer architecture fundamentals and the ability to reason about disabling, isolating, or reconfiguring resources.
  • •Strong C++ and/or Python skills with experience building architectural models, simulators, optimization frameworks, or engineering analysis tools.
  • •Ability to translate architecture and product requirements into rules, constraints, algorithms, and executable analysis for complex optimization/configuration problems.
Experience:10+ yearsGPU architectureCPU architectureSoCComputer graphicsAccelerated computing
Education:Bachelor's
Skills:Quantify tradeoffsInfluence cross-functional decisionsConstraint-based reasoningOptimization reasoningAnalytical thinking
Tech Stack:C++PythonGPUCPUSoC

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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