Senior Agentic AI Systems Engineer — GPU Kernel

Socket.dev; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA's GPU SW Kernel organization seeks a senior software engineer to design and productize agentic AI systems that operate on GPU software artifacts such as source code, crash dumps, and CI signals.

You will own end-to-end delivery of agentic services, build LLM-powered pipelines for code generation, bug triage, and test coverage, and collaborate with Gerrit, NVBugs, Perforce, CI/CD, and Slack to enable scalable automation.

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.

Responsibilities

• 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!

Skills

Python

LLM frameworks

Agentic AI

RAG pipelines

Production software

Analytical skills

Education

BS/MS in CS/CE

Tools

Gerrit

NVBugs

CI/CD

Perforce

Slack

Job description

NVIDIA's GPU SW Kernel organization seeks a senior software engineer to design and productize agentic AI systems that operate on GPU software artifacts such as source code, crash dumps, and CI signals.

You will own end-to-end delivery of agentic services, build LLM-powered pipelines for code generation, bug triage, and test coverage, and collaborate with Gerrit, NVBugs, Perforce, CI/CD, and Slack to enable scalable automation.