Senior AI Workflow Engineer

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $236k
$158k most similar roles pay here $301k

This role pays more than 73% of similar roles. Most pay $173,662–$242,562 — the shaded band above. At the midpoint, this role pays about $236k versus about $208k 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 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior AI Workflow Engineer

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NVIDIA’s Infrastructure, Planning and Process Team (IPP) is seeking a senior software engineer to design and implement AI-driven tools that automate end-to-end engineering workflows, enhancing productivity across various NVIDIA teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars. The role involves leveraging large language models and agentic AI to optimize development processes, measure the impact of AI interventions on key metrics like cycle time and MTTR, and develop predictive models for risk identification. Ideal candidates have extensive experience in Python scripting, full-stack development with frameworks like React and Node.js, and hands-on knowledge of CI/CD tools such as Jenkins and GitLab CI. They should also be proficient in distributed systems, microservices architecture, and real-time software project management using service-oriented architecture.

Skills

Python Java Go React Angular Vue.js Node.js Django Flask MySQL MongoDB Elasticsearch AWS Azure GCP Jenkins Gitlab CI Terraform CI/CD REST APIs Large Language Models (LLM) Agentic AI RAG Microservices

What you'll do

  • Design and implement AI-driven optimizations in software development workflows to enhance developer productivity.
  • Develop predictive models to identify high-risk commits and forecast potential build failures.
  • Continuously measure and report on the impact of AI interventions in key metrics.
  • Conduct research on emerging technologies to recommend best practices for AI adoption.
  • Automate software engineering workflows using large language models and agentic AI techniques.

What we're looking for

  • 10+ years of experience in EE/CS with a BE or MS degree.
  • Expertise in Large Language Models (LLMs) and Agentic AI techniques.
  • Proficient in Python scripting and full-stack development technologies.
  • Experience with CI/CD tools, SQL/NoSQL databases, and cloud deployment.
  • Knowledge of distributed systems, microservices architecture, and REST APIs.

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