We are seeking a Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions.
In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.
This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems.
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
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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