Principal AI Compute Performance Architect

OHO Group (Lithuania); San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

OHO Group in San Francisco seeks a Principal Performance Modeling Engineer to turn complex architecture questions into clear, defensible design decisions.

You’ll build analytical and simulation-backed models of GPUs and accelerators, drive silicon and system choices, and predict throughput and latency across AI workloads.

The role requires strong Python and deep knowledge of GPU memory hierarchies, with a track record of models that influenced real engineering decisions.

Qualifications

• Substantial experience in performance modeling, computer architecture or systems performance.
• Ownership of models that influenced real engineering decisions.
• Strong Python skills and understanding of GPU memory hierarchies and distributed AI workloads.

Responsibilities

• Build and own analytical and simulation-backed models of GPU and accelerator systems.
• Drive silicon and system architecture decisions through your work.
• Predict throughput, latency, utilisation and efficiency across AI workloads.
• Validate predictions against measured behaviour and explain results for architecture decisions.

Skills

Performance modeling

Python programming

GPU architecture knowledge

Job description

OHO Group in San Francisco seeks a Principal Performance Modeling Engineer to turn complex architecture questions into clear, defensible design decisions.

You’ll build analytical and simulation-backed models of GPUs and accelerators, drive silicon and system choices, and predict throughput and latency across AI workloads.

The role requires strong Python and deep knowledge of GPU memory hierarchies, with a track record of models that influenced real engineering decisions.