Performance Modeling Engineer (AI)

TL;DR

Performance Modeling Engineer (AI): Developing and applying performance modeling frameworks to evaluate AI system behavior and inform next-generation infrastructure design with an accent on compute, memory, and networking tradeoffs. Focus on building simulation tools, analyzing distributed system bottlenecks, and validating models against real-world measurements.

Location: Must be based in San Francisco, CA (Hybrid: 3 days in office per week). Relocation assistance is available.

Salary: $266,000 – $445,000 + Equity

Company

An AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Develop and maintain performance modeling tools and frameworks.
• Build models to evaluate system behavior across compute, memory, and interconnect subsystems.
• Analyze distributed system scaling and identify performance bottlenecks.
• Run simulations and analytical models to support architectural tradeoff analysis.
• Translate modeling outputs into actionable insights for system design and vendor decisions.
• Validate models against real system measurements and workload behavior.

Requirements

• Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).
• Familiarity with system architecture fundamentals including compute, memory, and networking.
• Experience with programming and building technical tools or frameworks.
• Ability to reason about performance bottlenecks and scaling behavior.
• Strong analytical skills and comfort working with quantitative models.
• Must be located in or able to relocate to San Francisco, CA.

Nice to have

• Exposure to AI/ML workloads or distributed systems.
• Experience with simulation tools, performance modeling, or systems analysis.
• Familiarity with data center infrastructure or large-scale systems.
• Experience working with performance data, benchmarking, or profiling tools.
• Interest in system architecture and hardware/software co-design.

Culture & Benefits

• Hybrid work model (3 days in office per week).
• Relocation assistance offered.
• Competitive compensation package including equity.
• Equal opportunity employer focused on diversity and inclusion.
• Opportunity to work on cutting-edge AI infrastructure that impacts global technology.