Senior LLM Agents Architect
Tasks
- Build automated performance forensics agents
- Collaborate with GPU architects to encode domain expertise in workflows
- Design and build agentic AI systems
- Develop agentic flows for GPU architectural studies
- Develop dataset version management offline test suites and guardrails
- Generate analyze and optimize GPU compute kernels
- Ingest simulation traces and profiler data to identify bottlenecks
- Integrate with internal services
- Mentor teams in agent orchestration prompting RAG and observability
- Prototype and productize agent workflows
- Set up evaluation backbone using offline golden sets and online telemetry
Perks/Benefits
Skills/Tech-stack
Auto-tuning | C++ | CUDA | Cache behavior | Computer Architecture | CrewAI | Distributed Processing | GPU Architecture | GPU Computing | GPU Kernel | GPU kernel optimization | Global Memory | Hardware simulation | Infiniband | Kernel Fusion | Kernel optimization | Langchain | Langgraph | Memory hierarchy | Model Adaptation | Multi-GPU | NVIDIA GPU | NVIDIA GPU architecture | NVLink | Nsight Compute | Nsight Systems | Observability | Occupancy Tuning | Offline evaluation | Online monitoring | PTX | Parallelism Models | Performance Modeling | Pipelining | Prompt engineering | Python | RAG | Shared Memory | Streaming Multiprocessors | Telemetry | TorchDynamo | TorchInductor | Torch_compile | Triton | Warp scheduling
Education
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