Senior Systems Integration Engineer

Reposted Yesterday
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Hiring Remotely in Santa Clara, CA
In-Office or Remote
184K-357K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves improving infrastructure and automated testing systems for mission-critical software, investigating failures, and architecting new tools to enhance productivity in GPU software development.
Summary Generated by Built In

NVIDIA is searching for a highly motivated engineer with a passion for system software delivery. You'll join NVIDIA's growing GPU software team in developing continuous integration infrastructure in support of NVIDIA's mission critical software releases. You'll have a central role in helping the team build a world-class build and integration system that scales with the team's mission.

What you'll be doing:

  • Be responsible for maintaining and improving mission critical infrastructure and test content

  • Investigate failures and anomalies in automated build and test systems and drive to resolution with a team of experts

  • Identify systemic problems in reporting systems, distill those into actionable investigations and drive service level improvements

  • Write, configure and debug automated tests for system-level/kernel-mode software under Linux and Windows

  • Architect new tools and refine processes that deliver productivity improvements

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).

  • 10+ years of relevant software development experience 

  • Experience writing, deploying and maintaining OS-level system software

  • Experience with software testing infrastructure

  • A strong dedication to data driven, evidence-based investigation

  • Strong ability to communicate hypotheses, results, and incidental discoveries to teammates, client stakeholders in other internal teams, and the broader organization

Ways to stand out from the crowd:

  • Existing knowledge of NVIDIA GPU kernel software

  • Experience designing, implementing, and debugging automated build and test systems

  • Comfort in programming in Python, Perl, shell or Tcl

  • Knowledge of low-level systems programming under Linux and Windows in C/C++ and/or Rust

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 2, 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

C
C++
Linux
Perl
Python
Rust
Shell
Tcl
Windows
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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.”

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