$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
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
| 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.