Senior Staff Software Engineer - Agentic Automation

NVIDIA
Santa Clara
Full timeUSD 200,000 - 322,000 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Systems thinking","Incident management","Troubleshooting","Mentoring","Root-cause analysis"]

Own engineering for NVIDIA enterprise systems by transforming reactive support into strategic, AI-infused automated resolution. Design agentic AI workflows using LLM-based agents, tool calling, RAG, and orchestration frameworks, and build end-to-end integrations across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Lead triage, root-cause analysis, incident response, and automation that improves mitigation and resolution times, while mentoring teams and maintaining runbooks and knowledge bases.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Staff Software Engineer - Agentic Automation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Own engineering for NVIDIA enterprise systems by transforming reactive support into strategic, AI-infused automated resolution. Design agentic AI workflows using LLM-based agents, tool calling, RAG, and orchestration frameworks, and build end-to-end integrations across ServiceNow, identity management, monitoring platforms, and enterprise SaaS. Lead triage, root-cause analysis, incident response, and automation that improves mitigation and resolution times, while mentoring teams and maintaining runbooks and knowledge bases.
Location: Santa Clara
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks.
  • •Build robust integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS, owning the full stack.
  • •Triage and resolve enterprise issues by improving mitigation and resolution times through automation and self-service solutions.
  • •Manage and troubleshoot enterprise-scale collaboration, productivity, AI, and infrastructure systems, including root-cause analysis across multiple systems.
  • •Create and maintain runbooks, troubleshooting guides, and knowledge base articles; mentor team members on troubleshooting methodology and systems thinking.

Pay and Benefits

Salary: USD 200,000 - 322,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
  • •12+ years of experience in SRE, Enterprise Support, or DevOps.
  • •Experience building production-grade agentic workflows (e.g., multi-agent systems and MCP servers).
  • •Expertise with two or more backend languages such as Go, Python, or Java and strong fundamentals operating large-scale systems.
  • •Full stack experience building user-facing web applications, operational dashboards, and backend APIs/data pipelines; strong incident management and troubleshooting skills.
Experience:12+ yearsSREEnterprise SupportDevOpsSaaSHybrid cloudAI/ML
Education:Bachelor's in Computer Science, Engineering, IT, or related field
Skills:Systems thinkingIncident managementTroubleshootingMentoringRoot-cause analysis
Tech Stack:LLM-based agentsTool callingRAGOrchestration frameworksServiceNowIdentity managementMonitoring platformsEnterprise SaaSGoPythonJavaReact.jsBackend APIsData pipelinesJiraMicrosoftAppleLinuxWindowsMulti-agent systems

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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