Lead GPU Architect for AI Accelerators & Clusters

EngineersOfAI; Milpitas (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

EngineersOfAI is seeking a highly accomplished GPU Architect to lead the next generation of AI accelerators and multi-GPU cluster architecture. This significant role requires deep collaboration with hardware, firmware, and AI silicon teams to enhance GPU infrastructure.

The ideal candidate has 10+ years of experience in GPUs or AI accelerators and exceptional skills in performance modeling, manufacturing techniques, and reliability engineering. You will ensure performance efficiency across complex systems while adhering to strict engineering standards.

Qualifications

• 10+ years of deep experience in GPUs, AI accelerators, or highly parallel computer systems.
• Understanding of SIMD/SIMT execution models and hardware acceleration for machine learning algorithms.
• Deep knowledge of advanced manufacturing techniques for AI compute units.

Responsibilities

• Collaborate with software engineering for hardware architectures.
• Build and analyze cycle-accurate simulators to identify bottlenecks.
• Mentor engineering teams and drive strict engineering standards.

Skills

GPU architecture

C++

Python

Machine learning

Reliability engineering

Education

BS or MS or equivalent experience

Job description

EngineersOfAI is seeking a highly accomplished GPU Architect to lead the next generation of AI accelerators and multi-GPU cluster architecture. This significant role requires deep collaboration with hardware, firmware, and AI silicon teams to enhance GPU infrastructure.

The ideal candidate has 10+ years of experience in GPUs or AI accelerators and exceptional skills in performance modeling, manufacturing techniques, and reliability engineering. You will ensure performance efficiency across complex systems while adhering to strict engineering standards.