← All roles

Senior System Software Engineer, Agentic Kernel Development

NVIDIA· Engineer, Sys SW
Apply on company site
Santa Clara, CA$184k - $287.5kFull-timePosted 1mo ago

About the role

Join NVIDIA's GPU software kernel organization to develop agentic AI systems that operate on GPU software artifacts, delivering production-ready agentic services and advancing AI-enhanced automation across GPU software development.

Responsibilities

  • Compose, build, and productize agentic AI systems that operate directly on GPU software artifacts — source code, crash dumps, changelists, test results, and CI/CD signals
  • Own the full lifecycle of agentic services: from prototype through evaluation, deployment, and continuous improvement
  • Build robust LLM-powered pipelines for code generation, automated bug triage, regression detection, and intelligent test coverage analysis
  • Develop the agentic knowledge layer and MCP-based infrastructure that allow agents to interact with internal developer systems (Gerrit, NVBugs, CI/CD, Perforce, Slack)
  • Design and assess agent quality thoroughly — establish metrics, develop evaluations, measure precision/recall tradeoffs at each stage of the funnel
  • Work closely with GPU SW kernel engineers to pinpoint high-impact automation opportunities and convert domain knowledge into effective agentic AI systems
  • Drive adoption across GPU SW teams by shipping agentic services that are fast, reliable, and meaningfully better than the manual alternative!

Qualifications

  • BS/MS in Computer Science, Computer Engineering, or equivalent experience
  • 8+ years of software engineering experience, including a minimum of 2 years developing production LLM or agentic AI systems
  • Strong Python skills and experience with modern LLM frameworks (LangChain, LlamaIndex, or equivalent)
  • Hands-on experience with RAG pipelines, tool-use / function-calling patterns, multi-step agentic services, and timely engineering at scale
  • Proven experience delivering and refining agentic AI systems within a live production setting
  • Solid software engineering fundamentals: system build, testing, observability, and scalable architecture
  • Strong analytical skills — comfortable reasoning about precision/recall tradeoffs, false positive rates, and evaluation methods for agent outputs

Skills

Required:PythonLLM frameworksRAG pipelinesTool-use / function-calling patternsMulti-step agentic servicesProduction software engineeringAnalytical skills

Benefits

  • Equity
  • Benefits (per company offerings)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA