SeniorLLMAgentsArchitect

We don't just build the hardware and software that powers the AI revolution — we are building the AI that designs the next generation of both. Our team sits at the intersection of inference software and GPU architecture, creating autonomous LLM-driven systems that reason about hardware, write high-performance CUDA, and automate the complex loops of architectural simulation, analysis, and optimization. We are looking for a senior LLM Agents Architect to work hands-on with hardware architects, verification engineers, GPU performance experts, and software developers to build end-to-end agent flows that drive significant improvements in kernel optimization, architectural exploration, and developer efficiency. **What you 'll be doing:** * Design and build agentic AI systems that generate, analyze, and optimize GPU compute kernels — targeting speed-of-light performance on NVIDIA hardware. * Collaborate with GPU architects and performance engineers to encode domain expertise — memory hierarchy trade-offs, occupancy tuning, instruction-level reasoning — into agent workflows that rival hand-tuned optimization. * Build automated performance forensics agents capable of ingesting large-scale simulation traces and Nsight profiler data to identify bottlenecks and propose architectural or software mitigations. * Partner with HW architects to develop agentic flows for GPU architectural studies — enabling rapid what-if analysis across micro-architecture configurations such as cache sizing, memory controller design, and compute unit scaling. * Explore agentic approaches to HW/SW co-design challenges, including replacing or augmenting graph-compiler functionality (e.g., TorchInductor) with LLM-driven optimization and code-generation pipelines. * Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions. * Set up evaluation backbone using offline golden sets and online telemetry for confi