Senior AI Workflow Engineer
Nvidia
Quick summary
Market check
How this pay compares to similar roles
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
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.
Most-posted roles
At a glance
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.
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