Performance Modeling Engineer ~2
Develop and maintain performance modeling tools to analyze AI system behavior, evaluate tradeoffs in compute, memory, networking, and storage. Requires 1-2 years experience in software engineering or systems analysis, strong programming, and analytical skills.
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
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