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 Hiring @ 4 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. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work.

NVIDIA is hiring senior software engineers in its Infrastructure, Planning and Process Team (IPP), to accelerate AI adoption across various engineering workflows within the company. IPP is a global organization that works with teams across NVIDIA (Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars) to cater to their infrastructure and software development workflow needs. As a senior engineer on AI Workflow, you will create and establish 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 throughout software development lifecycles 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 on 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 and maintain a competitive edge.

Requirements

  • BE (MS preferred) or equivalent experience in Electrical Engineering / Computer Science with 10+ years of work experience.
  • Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), and agent development.
  • Strong background in implementing AI solutions to solve real-world software engineering problems.
  • Hands-on experience with Python / Java / Go, with extensive Python scripting experience.
  • Experience working with SQL and NoSQL database systems such as MySQL, MongoDB, or Elasticsearch.
  • Full-stack, end-to-end development expertise, including front-end frameworks (e.g., React, Angular), back-end (Python, Go, Java), and data infrastructure (SQL/NoSQL).
  • Experience with CI/CD and related tools such as Jenkins, GitLab CI, Packer, Terraform, Artifactory, Ansible, Chef, or similar tools.
  • Good understanding of distributed systems, microservice architecture, and REST APIs.
  • Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways to Stand Out

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

Compensation & Benefits

  • Base salary range (determined based on location and experience):
    • 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/).

Other Information

  • Employment type: Full time.
  • Location: Santa Clara, California, United States (on-site expected).
  • Applications accepted at least until October 4, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.