Performance Modeling Engineer ~2

Key Responsibilities

• Support the development and maintenance of performance modeling tools and frameworks
• Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems
• Help analyze distributed system scaling behavior and identify performance bottlenecks
• Run simulations and analytical models to support architecture and infrastructure decisions
• Partner with senior engineers to evaluate design tradeoffs across hardware and system components
• Interpret modeling outputs and help translate findings into clear recommendations
• Validate models using benchmarking data and real system performance measurements
• Improve modeling workflows, documentation, and usability for broader team adoption
• Collaborate cross-functionally with hardware, infrastructure, and architecture teams
• Continuously build technical depth across AI infrastructure, system architecture, and performance analysis

Qualifications

• 1–2 years of experience in software engineering, systems modeling, performance analysis, or related technical work
• Strong programming skills and experience building technical tools, scripts, or frameworks
• Familiarity with system architecture fundamentals such as compute, memory, and networking
• Ability to reason about system performance, bottlenecks, and scaling behavior
• Strong analytical and problem-solving skills with comfort working in quantitative environments
• Ability to learn quickly and work effectively across technical teams

Preferred Skills

• Exposure to AI/ML workloads, distributed systems, or large-scale infrastructure
• Experience with simulation tools, benchmarking, profiling, or performance analysis
• Familiarity with data center systems, server architecture, or hardware platforms
• Interest in system architecture and hardware/software co-design
• Internship or early professional experience in performance engineering, infrastructure, or systems design