Senior System Software Engineer, Agentic Kernel Development

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k

This role $236k

$136k $304k

below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $152,202–$235,750 — the blue band above. At the midpoint, this role pays about $236k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1792 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1179 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer, Agentic Kernel Development

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As a Senior System Software Engineer, Agentic Kernel Development, you will join the GPU SW Kernel organization to build agentic AI systems that improve GPU software quality and efficiency. You will own the full lifecycle of agentic services, from prototyping to production deployment, by building LLM-powered pipelines for code generation, automated bug triage, and regression detection. Your daily work involves developing an agentic knowledge layer and MCP-based infrastructure to interact with systems like Gerrit, NVBugs, and Perforce. You will use Python, LangChain, and LlamaIndex to create RAG pipelines and multi-step agentic services. The role requires solving complex problems in GPU software development by converting domain knowledge into automated tools that analyze source code, crash dumps, and CI/CD signals to establish new standards in AI-enhanced automation.

What does a System Software Engineer earn in California?

Median $235750 from 68 postings across 4 companies.

See salary data

Skills

Python LLM LangChain LlamaIndex RAG CUDA CI/CD MCP Gerrit Perforce Agentic AI Crash Analysis Observability

What you'll do

Compose, build, and productize agentic AI systems that operate directly on GPU software artifacts.
Own the full lifecycle of agentic services from initial prototype through deployment and continuous improvement.
Build LLM-powered pipelines for code generation, automated bug triage, regression detection, and test coverage analysis.
Develop the agentic knowledge layer and MCP-based infrastructure for interacting with internal developer systems.
Establish metrics and develop evaluations to measure precision, recall, and quality tradeoffs for agent outputs.
Convert domain knowledge from GPU SW kernel engineers into effective agentic AI systems.
Ship fast, reliable agentic services to drive adoption across GPU software teams.

What we're looking for

BS/MS in Computer Science, Computer Engineering, or equivalent experience.
8+ years of software engineering experience.
Minimum of 2 years developing production LLM or agentic AI systems.
Strong Python skills and experience with modern LLM frameworks like LangChain or LlamaIndex.
Hands-on experience with RAG pipelines, tool-use, function-calling, and multi-step agentic services.
Proven experience delivering and refining agentic AI systems within a live production setting.
Solid software engineering fundamentals in system build, testing, observability, and scalable architecture.
Experience building code agents or background in GPU, driver, or systems software (preferred).

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