Senior Software Engineer, Agent Simulation and Evaluation
Core
Building agentic systems to automate simulation, evaluation, performance analysis, and reporting for AI inference workloads on GPU and LPU systems.
Role type
Senior IC software engineer (AI agents & performance engineering)
Builds
Automated simulation and evaluation tools, performance models for heterogeneous systems, and engineering workflows for LPU organization
Domain
AI inference, GPU/LPU hardware, high-performance computing
Deliverable
production ML models | product features | infrastructure
Required skills
AI agent development, model architecture understanding, performance analysis, simulation & profiling, Python engineering, benchmarking, capacity planning
Preferred skills
Coding agents (Codex, Claude Code), GPU/accelerator architecture knowledge, distributed inference, HPC, open-source agentic AI projects
Technologies
Python, GPU, LPU, LLMs, reasoning models, coding agents, multimodal models
Responsibilities
Build agentic systems for automation; Develop tools for experiment configuration and result analysis; Analyze inference characteristics of AI models; Build and validate performance models; Collaborate with hardware and inference teams; Automate LPU workflows like benchmarking and release qualification
Seniority
Senior, hands-on IC
