Senior Staff Software Engineer, Agentic Automation

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$200,000–$322,000 / yr
Posted
7 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $261k
$119k most similar roles pay here $344k

This role pays more than 90% of similar roles. Most pay $164,625–$224,325 — the shaded band above. At the midpoint, this role pays about $261k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Staff Software Engineer, Agentic Automation

Senior Staff Software Engineer - Agentic Automation joins the enterprise systems team to transform reactive support into strategic, AI-infused automated resolution systems. This role involves designing and implementing agentic AI workflows using LLM-based agents, tool calling, RAG patterns, and orchestration frameworks to prevent problems before they occur. The engineer will build robust integration pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS while managing complex infrastructure, collaboration, and productivity systems. Key responsibilities include root cause analysis of multi-system failures, building self-service solutions, and mentoring team members on systems thinking. Required technical skills include proficiency in Go, Python, or Java for backend development, and React.js for front-end tools. The role requires experience with hybrid cloud environments, multi-agent systems, MCP servers, and managing enterprise stacks including Jira, various operating systems, and storage infrastructure.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Design and implement agentic AI workflows using LLM-based agents, RAG patterns, and orchestration frameworks.
  • Build robust integration and automation pipelines across ServiceNow, identity management, monitoring platforms, and enterprise SaaS.
  • Develop full-stack tools ranging from backend infrastructure to user-facing web applications and dashboards.
  • Triage and resolve complex, multi-system failures by identifying patterns in recurring tickets.
  • Create automated self-service solutions and proactive systems to replace reactive support models.
  • Manage and troubleshoot large-scale collaboration, productivity, AI, and infrastructure systems.
  • Maintain technical runbooks, troubleshooting guides, and knowledge base articles to improve team capabilities.
  • Mentor team members on troubleshooting methodologies and systems thinking.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or a related field (or equivalent experience).
  • Experience in SRE, Enterprise Support, or DevOps.
  • Experience with SaaS, hybrid cloud, and AI/ML environments.
  • Experience building production-grade agentic workflows, including multi-agent systems and MCP servers.
  • Proficiency in at least two backend languages such as Go, Python, or Java for managing complex production systems.
  • Full stack engineering experience including React.js for web applications and building backend APIs and data pipelines.
  • Expertise in troubleshooting enterprise hybrid stacks including Jira, Microsoft, various OS platforms, and infrastructure systems.
  • Strong skills in incident management, root-cause analysis, and blameless postmortems.

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