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NVIDIA

Senior Staff Software Engineer - Agentic Automation

NVIDIA Santa Clara, CA, United States Full-time 2 months ago
Embedded & Systems Software

$200,000 - $322,000 USD yearly

Build production-grade agentic workflows, multi-agent systems, and MCP servers across NVIDIA enterprise systems.

Originally posted 4 September 2026 by the employer. Relisted by the employer on 3 November 2026.

About the role

This role leads software engineering efforts across NVIDIA enterprise systems to build AI-infused automated resolution systems. Focus areas include deploying agentic AI workflows, tool calling, and RAG patterns to convert reactive enterprise operations into automated pipelines.

What you'll do

  • Design and implement agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks.
  • Build integrations and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS systems.
  • Triage and resolve enterprise issues while building automation or self-service solutions to minimize mitigation and resolution times.
  • Trace and root-cause complex multi-system failures across enterprise-scale collaboration, productivity, AI, and infrastructure systems.
  • Author and maintain runbooks, troubleshooting guides, and knowledge base articles.
  • Mentor engineering team members on troubleshooting methodology and systems thinking.

What you'll need

  • Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
  • 12+ overall years of experience in SRE, Enterprise Support, or DevOps.
  • Experience building production-grade agentic workflows, including multi-agent systems and MCP servers.
  • Expertise in two or more backend languages such as Go, Python, or Java with a track record of owning complex production systems.
  • Full stack engineering experience building user-facing web applications and operational dashboards using frontend frameworks such as React.js, along with backend APIs and data pipelines.
  • Hands-on troubleshooting experience across enterprise hybrid stacks (Jira, Microsoft, Apple, Linux, Windows) and infrastructure systems including compute, AI, and storage.

Skills: agentic AI workflows, LLM-based agents, automation pipelines, Enterprise systems, SRE

More semiconductor jobs: NVIDIA jobs · California jobs

Market context

This role has been open 58 days — slightly above the 54-day median for Infrastructure/Platform Software roles.

Infrastructure/Platform Software · Infrastructure Platform

Open roles in category
998
Median days open
54 d
Category median salary (all employers)
$236k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in Infrastructure/Platform Software hiring
Metric NVIDIA All employers we track in this specialty (998 roles · 90 employers)
Open roles in this specialty 306 998
Open roles in the wider Software, Firmware & Systems family 1129 6316 · 145 employers
Median days open 57 d 54 d (+3 d vs this employer)
Median salary (USD postings) — $236k

Skills observed across this category: agentic AI workflows, LLM-based agents, automation pipelines, Enterprise systems, SRE

Who's hiring in this category

  • NVIDIA (this employer) · 305 open roles · median 57 d
  • Qualcomm · 58 open roles · median 56 d
  • AMD · 48 open roles · median 33 d
  • Graphcore · 48 open roles · median 96 d
  • Intel Corporation · 45 open roles · median 19 d
  • Arm Holdings · 37 open roles · median 6 d

How we counted: 998 open Infrastructure/Platform Software (Infrastructure Platform) roles from 90 employers tracked in the SemiconductorJobs index, counted 3 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Santa Clara, CA, United States
On-site
Full-time
$200,000 - $322,000 USD yearly
2 months ago

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