Performance Modeling Engineer ~2
reputed company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits reputed company of humanity. They are seeking a Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural reputed company. The role involves analyzing system behavior, running simulations, and helping evaluate tradeoffs across various system components.
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 reputed company
- 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 reputed company 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
Skills
- 1–2 years of experience in software engineering, systems modeling, performance analysis, or reputed company 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
- 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
Company Overview
Company H1B Sponsorship