Agentic AI Systems Engineer for GPU Kernel Automation

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking engineers to join the GPU SW Kernel organization, where we’re building agentic AI systems that operate on GPU software artifacts such as source code, crash dumps, changelists, test results, and CI/CD signals.

You’ll own the full lifecycle of agentic services, develop LLM-powered pipelines, and collaborate with kernel engineers to deliver fast, reliable automation that improves GPU software development; equity and benefits are included.

Qualifications

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of software engineering experience, including 2+ years in production LLM or agentic AI.
• 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 scalable engineering.

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.

Skills

Strong Python

Strong analytical skills

RAG pipelines experience

Education

BS/MS in Computer Science, Computer Engineering, or equivalent experience

Tools

LangChain

LlamaIndex

Gerrit

NVBugs

Perforce

CI/CD

Slack

Job description

NVIDIA is seeking engineers to join the GPU SW Kernel organization, where we’re building agentic AI systems that operate on GPU software artifacts such as source code, crash dumps, changelists, test results, and CI/CD signals.

You’ll own the full lifecycle of agentic services, develop LLM-powered pipelines, and collaborate with kernel engineers to deliver fast, reliable automation that improves GPU software development; equity and benefits are included.