Senior System Software Engineer, Agentic Kernel Development

NVIDIA Gruppe; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior engineer to build agentic AI systems operating on GPU software artifacts, including source code, crash dumps, and CI/CD signals.

You will own the full lifecycle of agentic services, build LLM-powered pipelines, develop the MCP-based infrastructure, and define robust evaluation metrics. Collaboration with GPU SW kernel engineers will be essential to deliver high-impact automation.

Qualifications

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 8+ years of software engineering experience.
• 2+ years developing production LLM or agentic AI systems.
• Strong Python skills and experience with modern LLM frameworks.
• Hands-on experience with RAG pipelines and multi-step agentic services.
• Proven experience delivering agentic AI in live production.
• Solid software engineering fundamentals.

Responsibilities

• Own the full lifecycle of agentic services from prototype to deployment.
• Build robust LLM-powered pipelines for code generation, bug triage, regression detection, and test coverage analysis.
• Develop agentic knowledge layer and MCP-based infrastructure for internal systems (Gerrit, NVBugs, CI/CD, Perforce, Slack).
• Design and evaluate agent quality with metrics and tradeoff analyses.
• Collaborate with GPU SW kernel engineers to identify automation opportunities.
• Drive adoption by shipping fast, reliable agentic services superior to manual processes.

Skills

Python

LLM frameworks

RAG pipelines

Agentic AI systems

Production deployment

Software fundamentals

Analytical skills

Education

BS/MS in CS/CE or equivalent

Tools

Gerrit

NVBugs

CI/CD

Perforce

Slack

Job description

Join NVIDIA's GPU SW Kernel organization, where we're groundbreaking the next generation of outstanding AI systems to transform GPU software development. Our team leads the effort in crafting agentic AI systems that improve the quality and efficiency of GPU software. This is an outstanding opportunity to grow innovative systems from promising projects to critically important infrastructure. Be part of a dynamic team that impacts GPU release quality and establishes new standards in AI-enhanced automation!

What you'll be doing:

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!

What we need to see:

• 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

Ways to stand out from the crowd:

• Experience building code agents — automated generation, review, or repair of real codebases
• Background in GPU, driver, or systems software (even as a user or collaborator) and 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.