Senior GPU Architect - Performance and Yield Optimization

Responsibilities

• Work with us 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.
• What We Need to See
• 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.

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