Senior GPU Architect: Yield & Performance Optimizer

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks an experienced hardware/software architect to shape GPU architectures and optimize multi-die configurations. You will evaluate yield, area, and performance and translate requirements into executable models.

The role requires 10+ years in GPU/CPU/SoC architecture, deep knowledge of GPU pipelines, and strong C++/Python skills to build simulators and optimization tools. Equity and benefits are offered; applications accepted until 2026-09-19.

Qualifications

• BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field, or equivalent experience, plus 10+ years in GPU, CPU, SoC, or complex processor architecture.
• Strong understanding of GPU architecture, 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, yield, area, cost, and complexity tradeoffs and influence decisions across teams.

Responsibilities

• 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 silicon utilization while meeting product and performance requirements.
• Evaluate yield, performance, area, implementation cost, complexity, and product flexibility, then move proposals into production.

Skills

C++

Python

Architectural models

Simulators

Optimization frameworks

Engineering analysis tools

Education

BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field

Job description

NVIDIA in Santa Clara, CA seeks an experienced hardware/software architect to shape GPU architectures and optimize multi-die configurations. You will evaluate yield, area, and performance and translate requirements into executable models.

The role requires 10+ years in GPU/CPU/SoC architecture, deep knowledge of GPU pipelines, and strong C++/Python skills to build simulators and optimization tools. Equity and benefits are offered; applications accepted until 2026-09-19.