Design and build agentic AI systems that generate, analyze, and optimize GPU compute kernels
Collaborate with GPU architects and performance engineers
Build automated performance forensics agents capable of ingesting large-scale simulation traces
Partner with HW architects to develop agentic flows for GPU architectural studies
Explore agentic approaches to HW/SW co-design challenges
Rapidly prototype and thoughtfully productize solutions
Set up evaluation backbone using offline golden sets and online telemetry
Mentor and improve teams through insights in agent orchestration and prompting

7+ years in applied ML/AI or large-scale systems
2+ years crafting agentic or LLM-powered applications in production environments
B.Sc in Computer Science / Electrical Engineering
Solid grounding in computer architecture: memory hierarchies, parallelism models, pipelining, and cache behavior
Specific familiarity with NVIDIA GPU architecture
Hands-on CUDA programming experience
Comfortable with profiling tools such as Nsight Compute and Nsight Systems
Proven ownership of at least one end-to-end agentic system or LLM application
Strong software engineering skills in Python and one systems language (C++ preferred)
Proficient in tool use, RAG pipelines, and model adaptation techniques

Senior LLM Architect

Key skills