Diagnostics Software Infrastructure Engineer

Reposted 25 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
148K-276K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves overseeing branch health, improving build infrastructure, coordinating with teams, optimizing workflows, and evolving CI/CD architecture.
Summary Generated by Built In

We are seeking a highly motivated and experienced technical leader to help NVIDIA's GPU software team advance its software development lifecycle processes. In this role, you will be supervising the branch health, improving the build infrastructure and coordinating with cross-organizational teams for the GPU & Data Center diagnostics Software teams which delivers key pieces of software essential to NVIDIA's new hardware bring-up & validation.

What you'll be doing:

  • Propose, develop, maintain and report on a set of Key Performance Indicators to monitor branch health

  • Collaborate with Release Planning and Core Infrastructure teams on branching strategies

  • Streamline workflows between the diagnostics software and its partner teams

  • Take short-term actions as required to ensure business needs can be met and quality metrics achieved around release timelines

  • Take long-term actions such as evolving the CI/CD architecture to solve for systemic issues and keep up with industry standards in this area

  • Coalesce and prioritize requests to test automation, infrastructure and QA teams

  • Optimize build times, processes and workflows

What we need to see:

  • BS or MS degree in Computer Science (or equivalent experience)

  • 5+ years of demonstrated ability in DevOps or equivalent roles responsible for build and integration flows

  • Strong background with Gitlab, Jenkins, GitHub Actions and/or other CI/CD systems & Artifactory

  • Ability to self-manage, show leadership, and have good interpersonal skills

  • Very strong problem solving and debugging skills

  • Experienced in owning the delivery of large projects

  • Demonstrated ability at bridging multiple team needs and project demands

  • Previous experience of working on a large system software code base is preferable

  • Experience with challenges particular to embedded systems and software a plus

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Top Skills

Ci/Cd
Github Actions
Gitlab
Jenkins
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

2K Logo 2K

Manager, Community - Core

Gaming • Information Technology • Mobile • Software • Esports
Hybrid
Novato, CA, USA
3505 Employees
100K-148K Annually

Deepgram Logo Deepgram

VP, Self-Serve

Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
In-Office or Remote
San Francisco, CA, USA
150 Employees

Anduril Logo Anduril

Principal Loads & Dynamics Engineer

Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
In-Office
Costa Mesa, CA, USA
6000 Employees
220K-292K Annually

Micron Technology Logo Micron Technology

Intern - ASIC Gen-AI

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
2 Locations
45000 Employees
34K-41K Hourly

Similar Companies Hiring

Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY
Bellagent Thumbnail
Artificial Intelligence • Machine Learning • Business Intelligence • Generative AI
Chicago, IL
20 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account