GPU Architecture Engineer

NVIDIA is seeking a GPU Architecture Engineer to shape GPU architectures that improve product yield while maintaining performance and architectural simplicity. The ideal candidate will analyze how manufacturing defects affect architectural resources, develop methods that isolate or disable affected regions, build software tools and models that capture architectural, performance, and product requirements, and develop efficient optimization techniques.

Responsibilities:

• Work with the team to shape GPU architectures that improve product yield while maintaining performance and architectural simplicity
• Analyze how manufacturing defects affect architectural resources, then develop methods that isolate or disable affected regions while preserving useful functionality
• Build software tools and models that capture architectural, performance, and product requirements as rules and constraints
• Develop efficient optimization techniques that explore large configuration spaces and identify viable product configurations
• Develop approaches for multi-die architectures that improve utilization of available silicon while meeting product and performance requirements
• Evaluate yield, performance, area, implementation cost, complexity, and product flexibility, then work across architecture, performance, design, silicon, Operations, and software to move selected proposals into production

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
• Experience translating architecture and product requirements into rules, constraints, algorithms, and executable analysis, including complex optimization or configuration problems
• Ability to quantify performance, product yield, area, cost, and complexity tradeoffs and influence decisions across architecture, design, implementation, and product teams

Nice to Have:

• Hands-on GPU architecture or large-scale SoC architecture experience
• Experience with constraint-based reasoning, combinatorial optimization, mathematical optimization, or related techniques
• Background with silicon yield, defect tolerance, harvesting, redundancy, repair, resource isolation, or configurable processor architectures
• Experience with multi-die, chiplet, or other modular processor architectures and complex resource-allocation problems
• Experience using silicon or manufacturing data, developing performance or architecture simulators, profiling GPU workloads, or carrying concepts into production silicon

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.