Lead Performance Modeling Architect for AI Accelerators

Oho Group; San Francisco (CA); On-site; USD 180,000 - 320,000; Full time

Job summary

Oho Group is seeking a Principal Performance Modeling Architect to lead the modelling platform that directly shapes silicon design, cluster architecture and commercial decisions. You’ll own first-principles models of performance, energy, and cost across accelerators and clusters.

You will extend modelling to LLM inference, training and multimodal workloads, analyzing compute, memory and interconnect trade-offs and validating predictions against real frameworks.

Qualifications

• Strong experience in performance modelling, computer architecture or systems performance, with models used to influence decisions.
• Strong Python, analytical/roofline modelling and an understanding of GPU hardware and distributed AI workloads are essential.
• Understanding of both inference and training workloads.

Responsibilities

• Build first-principles models of performance, energy and cost across accelerators and clusters.
• Extend modelling across LLM inference, training and multimodal workloads.
• Analyse compute, memory and interconnect trade-offs, validating predictions against real frameworks.
• Own a production Python platform and develop AI-assisted analysis capabilities.

Skills

Performance modelling

Computer architecture

GPU/AI workloads

Analytical modelling

Tools

Python (data analysis)

Job description

Oho Group is seeking a Principal Performance Modeling Architect to lead the modelling platform that directly shapes silicon design, cluster architecture and commercial decisions. You’ll own first-principles models of performance, energy, and cost across accelerators and clusters.

You will extend modelling to LLM inference, training and multimodal workloads, analyzing compute, memory and interconnect trade-offs and validating predictions against real frameworks.