Senior AI Engineer, Agents and Developer Workflows

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Ansible @ 4 Chef @ 4 ElasticSearch @ 4 Go @ 4 Jenkins @ 4 MySQL @ 4 Terraform @ 4 Python @ 4 SQL @ 4 Java @ 4 NoSQL @ 4 CI/CD @ 4 Distributed Systems @ 4 Machine Learning @ 7 MongoDB @ 4 React @ 4 Angular @ 4 API @ 4 GPU @ 4

Details

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

NVIDIA’s Infrastructure, Planning and Process Team (IPP) is a global organization that partners with Graphics, Mobile, Deep Learning, AI and Driverless teams to accelerate AI adoption across engineering workflows. As a senior engineer on AI Workflow, you will create tools and software solutions that leverage Large Language Models and agentic AI to automate end-to-end software engineering workflows and enhance the productivity of engineers across NVIDIA.

Responsibilities

  • Develop and implement solutions across the software development lifecycle to improve developer efficiency, accelerate feedback loops, and boost release reliability.
  • Design, develop, and deploy AI agents to automate software development workflows and processes.
  • Continuously measure and report the impact of AI interventions using metrics such as cycle time, change failure rate, and mean time to recovery (MTTR).
  • Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes with high probability of failure.
  • Research emerging AI technologies and engineering best practices to continuously evolve the development ecosystem.
  • Work cross-functionally across organizational boundaries to enhance alignment and productivity between teams.

Requirements

  • BE (MS preferred) or equivalent experience in EE/CS with 10+ years of work experience.
  • Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and agent development.
  • Strong background implementing AI solutions to solve real-world software engineering problems.
  • Hands-on experience with Python, Java, and Go, with extensive Python scripting experience.
  • Experience working with SQL/NoSQL database systems such as MySQL, MongoDB, or Elasticsearch.
  • Full-stack, end-to-end development expertise — building and integrating front-end (e.g., React, Angular) to back-end (Python, Go, Java) and managing data infrastructure.
  • Experience with CI/CD and infrastructure tooling (Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools).
  • Good understanding of distributed systems, microservice architecture, and REST APIs.

Ways to stand out

  • Proven expertise in applied AI, particularly using Retrieval-Augmented Generation (RAG) and fine-tuning LLMs on enterprise data.
  • Experience delivering large-scale, service-oriented software projects under real-time constraints.
  • Expertise in leveraging LLMs and agentic AI to automate complex workflows.

Compensation & Benefits

  • Base salary ranges (location, experience and level dependent):
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • You will also be eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/).

Additional information

  • Location: Santa Clara, CA, United States.
  • Employment type: Full time.
  • Applications accepted at least until August 3, 2025.
  • NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.