Senior AI Workflow Engineer
Nvidia
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This listing doesn't post a salary. Most similar roles pay $159,500–$232,225.
Based on 240 similar postings.
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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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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The Senior AI Engineer, AI tools joins the team to evaluate emerging AI tools, agent harnesses, and models against engineering workflows. You will compare task success, reliability, and latency while identifying opportunities for AI-first approaches. Responsibilities include designing and validating reference workflows for coding, testing, and troubleshooting using tools like Codex, Claude, Cursor, Greptile, and CodeRabbit. You will optimize performance across training and evaluation workflows, collaborate with vendors to influence product roadmaps, and provide model selection guidance. Required skills include an MS in EE/CS or equivalent experience, 12+ years of work experience, and proficiency in Python, Java, or Go. You must understand LLMs, agentic AI, and distributed systems while possessing experience with CI/CD tools like Jenkins, Terraform, and Ansible to improve engineering productivity.
What does a AI Engineer earn in California?
Median $246150 from 100 postings across 17 companies.
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