Performance Modeling Engineer

Key Responsibilities

• Develop and maintain performance modeling tools and frameworks.
• Build models to evaluate system behavior across: compute, memory, and interconnect subsystems; distributed system scaling and bottlenecks.
• Run simulations and analytical models to support architectural tradeoff analysis.
• Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
• Analyze and interpret modeling outputs, translating results into actionable insights.
• Validate models against real system measurements and workload behavior.
• Contribute to improving modeling fidelity, usability, and scalability.

Qualifications

• Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).
• Familiarity with system architecture fundamentals (compute, memory, 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.
• Ability to collaborate across teams and learn new system domains quickly.

Preferred Skills

• 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.