Senior System Software Engineer, Agentic Kernel Development

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agentic AI @ 4 CI/CD @ 4 CUDA @ 3 GPU @ 4 LLM @ 7 LangChain @ 7 Observability @ 6 Python @ 7 RAG @ 4 Slack @ 4 Software Development @ 3

Details

NVIDIA's GPU Software Kernel organization is developing agentic AI systems that improve the quality and efficiency of GPU software development. The team is building systems that support GPU release quality and AI-enhanced automation.

Responsibilities

Compose, build, and productize agentic AI systems that operate on GPU software artifacts, including source code, crash dumps, changelists, test results, and CI/CD signals.
Own the full lifecycle of agentic services, from prototyping and evaluation through 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 enables agents to interact with internal developer systems, including Gerrit, NVBugs, CI/CD, Perforce, and Slack.
Establish agent-quality metrics and evaluations, and measure precision/recall tradeoffs at each stage of the funnel.
Work with GPU software kernel engineers to identify high-impact automation opportunities and convert domain knowledge into effective agentic AI systems.
Drive adoption across GPU software teams by delivering fast, reliable agentic services that improve on manual alternatives.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, or equivalent experience.
At least 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 such as LangChain, LlamaIndex, or equivalent.
Hands-on experience with RAG pipelines, tool-use/function-calling patterns, multi-step agentic services, and engineering at scale.
Proven experience delivering and refining agentic AI systems in a live production environment.
Solid software engineering fundamentals, including system building, testing, observability, and scalable architecture.
Strong analytical skills, including the ability to reason about precision/recall tradeoffs, false-positive rates, and evaluation methods for agent outputs.

Preferred Qualifications

Experience building code agents for automated generation, review, or repair of real codebases.
Background in GPU, driver, or systems software, including familiarity with CUDA, kernel-mode software, or GPU driver development workflows.
Experience with MCP servers, tool-calling agents, or multi-agent orchestration frameworks.
Contributions to open-source AI tooling, agentic frameworks, or developer-efficiency tools.
Familiarity with CI/CD systems, crash analysis pipelines, or automated regression triage.

Compensation and Benefits

The base salary range is $184,000–$287,500 USD for Level 4 and $224,000–$356,500 USD for Level 5. Base salary is determined by location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until September 18, 2026. NVIDIA is an equal opportunity employer.