Senior System Software Engineer, Agentic Kernel Development
Core
Design, build, and productize agentic AI systems that operate directly on GPU software artifacts to improve code quality and development efficiency.
Role type
Senior IC agentic AI systems engineer (GPU software)
Builds
Agentic services, LLM-powered pipelines, and MCP-based infrastructure for GPU software development
Domain
GPU software development, AI automation, developer tooling
Deliverable
production ML models
Required skills
Python, LLM frameworks (LangChain, LlamaIndex), RAG pipelines, tool-use/function-calling, multi-step agentic services, system architecture, observability, evaluation metrics (precision/recall)
Preferred skills
GPU/driver/kernel-mode software experience, CUDA, MCP servers, multi-agent orchestration, CI/CD systems, crash analysis
Technologies
Python, LangChain, LlamaIndex, RAG, MCP, Gerrit, NVBugs, Perforce, Slack, CUDA
Responsibilities
Own the full lifecycle of agentic services from prototype to deployment; Build robust LLM-powered pipelines for code generation and bug triage; Develop agentic knowledge layer and MCP infrastructure; Design and assess agent quality with metrics; Collaborate with GPU SW kernel engineers to identify automation opportunities; Drive adoption of agentic services across teams
Seniority
Senior, hands-on IC
