Base Salary
$200k - $322k/yr
Responsibilities
- 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.
- Own infrastructure, backend services, data pipelines, user-facing tools, and operational dashboards for enterprise automation.
- Triage and resolve enterprise issues, improve mitigation and resolution times, and troubleshoot collaboration, productivity, AI, and infrastructure systems.
- Trace root causes of complex multisystem failures, identify recurring issue patterns, and build automation or self-service solutions.
- Create and maintain runbooks, troubleshooting guides, and knowledge base articles.
- Mentor team members in troubleshooting methodology and systems thinking.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field, or equivalent experience.
- 12+ years of experience in SRE, enterprise support, or DevOps.
- Experience with SaaS, hybrid cloud, and AI/ML environments.
- Production experience building agentic workflows, including multi-agent systems and MCP servers.
- Deep software engineering experience building products and operating large-scale production systems.
- Expertise in at least two backend languages such as Go, Python, or Java.
- Full-stack experience building user-facing web applications, operational dashboards, backend APIs, and data pipelines with modern frontend frameworks such as React.js.
- Strong systems-thinking, dependency-tracing, troubleshooting, incident management, root-cause analysis, postmortem, and pattern-recognition skills.
- Experience troubleshooting enterprise hybrid stacks including Jira, Microsoft, Apple, Linux, Windows, compute, AI, and storage systems.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until September 8, 2026.
- This posting is for an existing vacancy.
Categories
H1B sponsorship
Sponsorship for this role is unconfirmed.
Nvidia’s past filings provide context. They do not guarantee sponsorship for a current opening.
H1B petition approvals by fiscal year
- FY 2026 · through Q2832
22 initial/new employment approvals · 355 changes of employer
- FY 20251,767
560 initial/new employment approvals · 415 changes of employer
- FY 20241,519
374 initial/new employment approvals · 415 changes of employer
Counts are petitions, including continuing employment and amendments, rather than unique hires. Source: USCIS
Job fields receiving H1B certifications
Partial fiscal year, through Q3
- Software Developers983 · 41%
- Electronics Engineers, Except Computer768 · 32%
- Architectural and Engineering Managers129 · 5%
- Computer and Information Research Scientists127 · 5%
- Sales Engineers77 · 3%
Job fields come from government occupation codes, rather than internal departments. Counts are certified Labor Condition Applications, not visa approvals or unique hires. Withdrawn and denied cases are excluded.
Source: US Department of LaborMatched government employer: NVIDIA CORPORATION
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.