Senior AI Engineer, AI tools

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $196k
$134k $243k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $159,500–$232,225.

Based on 240 similar postings.

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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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer, AI tools

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.

See salary data

What you'll do

  • Evaluate AI tools, agent harnesses, and models on engineering workflows for success, quality, reliability, and cost.
  • Recommend AI-first approaches and identify gaps in conventional solutions through hands-on tool evaluation.
  • Design, implement, and validate reference workflows for coding, testing, code review, and troubleshooting.
  • Introduce technologies for massively parallel systems to improve turnaround time and throughput.
  • Optimize performance and cost by identifying bottlenecks across training, evaluation, and testing workflows.
  • Collaborate with AI product vendors to influence roadmaps and integrate new features into the ecosystem.
  • Provide model selection guidance, recommended configurations, onboarding materials, and hands-on training to internal teams.

What we're looking for

  • MS in EE/CS or equivalent experience.
  • 12+ years of work experience.
  • Strong understanding of large language models, machine learning, and agentic AI.
  • Hands-on experience evaluating AI tools and applying LLMs to software engineering workflows.
  • Strong software engineering skills in Python, with experience in Java or Go and extensive scripting and automation.
  • Experience building evaluation pipelines, developer tooling, or full-stack applications with API integration and cloud deployment.
  • Experience with CI/CD tools such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, or Chef.
  • Good understanding of distributed systems, microservice architecture, and REST APIs.

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