Senior System Software Engineer, Agentic Kernel Development

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA invites applications for a senior role shaping agentic AI systems that operate directly on GPU software artifacts. You will build end-to-end pipelines for code generation, bug triage, and regression coverage, while driving automated, scalable AI solutions across GPU software teams.

The role demands 8+ years in software engineering with production LLM experience, strong Python, and familiarity with CUDA and GPU driver workflows.

Qualifications

• BS/MS in Computer Science or Computer Engineering; 8+ years software engineering experience.
• Strong Python skills and experience with LangChain, LlamaIndex.
• Hands-on experience with RAG pipelines, tool-use / function-calling patterns, multi-step agentic services.
• Proven experience delivering agentic AI systems within a live production setting.
• Solid software engineering fundamentals: build, testing, observability, and scalable architecture.
• Strong analytical skills — comfortable reasoning about precision/recall tradeoffs, false positives, and evaluation methods for agent outputs.
• Experience building code agents — automated generation, review, or repair of real codebases.
• Background in GPU, driver, or systems software 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.

Responsibilities

• Compose, build, and productize agentic AI systems that operate on GPU software artifacts like source code, crash dumps, 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, bug triage, regression detection, and intelligent test coverage analysis.
• Develop the agentic knowledge layer and MCP-based infrastructure enabling agents to interact with internal systems (Gerrit, NVBugs, CI/CD, Perforce, Slack).
• Design and assess agent quality—establish metrics, evaluations, and precision/recall tradeoffs at each funnel stage.
• Collaborate with GPU SW kernel engineers to identify high-impact automation opportunities and translate domain knowledge into agentic AI systems.
• Drive adoption across GPU SW teams by shipping fast, reliable agentic services that outperform manual approaches.

Skills

Python

LLM frameworks

Analytical skills

Production LLM systems

Education

BS/MS in Computer Science or Computer Engineering

Tools

LangChain

LlamaIndex

Gerrit

Perforce

NVBugs

CI/CD

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.