Senior System Software Engineer, Agentic Kernel Development

What you'll do

• Develop, evaluate, deploy, and continuously improve LLM-powered agents for code generation, bug triage, regression detection, and test coverage analysis.
• Build knowledge layers and MCP-based integrations with internal developer systems, and establish metrics to assess agent quality.
• Work with GPU software kernel engineers to identify automation opportunities and drive adoption of reliable agentic services.

What they ask for

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of software engineering experience, including at least 2 years developing production LLM or agentic AI systems.
• Strong Python skills and experience with modern LLM frameworks such as LangChain, LlamaIndex, or equivalent.
• Hands-on experience with RAG pipelines, tool-use/function-calling, multi-step agentic services, and delivering agentic systems in production.

Nice to have

• Experience building code agents or working with GPU, driver, or systems software.
• Experience with MCP servers, multi-agent orchestration, open-source AI tooling, CI/CD, or automated regression triage.

Pay

184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)

Tools

Python, LangChain, LlamaIndex, RAG, MCP, Gerrit, NVBugs, Perforce

AI focus

Build and assess agentic AI systems for GPU software workflows, including code generation, bug triage, regression detection, and test coverage analysis.