Senior System Software Engineer, Agentic Kernel Development

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 287,500 annuallyFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Analytical skills","System building","Testing","Observability","Scalable architecture"]

Join NVIDIA’s GPU SW Kernel team to build agentic AI systems that operate on GPU software artifacts. You’ll own the full lifecycle of agentic services, develop LLM-powered pipelines for code generation and automated bug triage, and build MCP-based infrastructure that connects agents to internal developer tools. Work with kernel engineers to define metrics and evaluations, improve precision/recall tradeoffs, and ship fast, reliable automation that improves GPU release quality.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior System Software Engineer, Agentic Kernel Development

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Join NVIDIA’s GPU SW Kernel team to build agentic AI systems that operate on GPU software artifacts. You’ll own the full lifecycle of agentic services, develop LLM-powered pipelines for code generation and automated bug triage, and build MCP-based infrastructure that connects agents to internal developer tools. Work with kernel engineers to define metrics and evaluations, improve precision/recall tradeoffs, and ship fast, reliable automation that improves GPU release quality.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Compose, build, and productize agentic AI systems that operate on GPU software artifacts such as 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 enabling agents to interact with internal developer systems.
  • •Design and assess agent quality using metrics and evaluations, including measuring precision/recall tradeoffs and minimizing false positive rates.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually
Perks:EquityBenefits

Key Requirements

  • •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 with modern LLM frameworks such as LangChain or LlamaIndex.
  • •Hands-on experience with RAG pipelines, tool-use/function-calling patterns, multi-step agentic services, and engineering at scale.
  • •Proven delivery and refinement of agentic AI systems in a live production setting.
Experience:8+ yearsAILLMsAgentic AI
Education:Bachelor's in Computer Science, Computer Engineering
Skills:Analytical skillsSystem buildingTestingObservabilityScalable architecture
Tech Stack:PythonLangChainLlamaIndexRAGMCPGerritNVBugsCI/CDPerforceSlackCUDALLM-powered pipelines

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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