Senior Systems Software Engineer, Base OS - NPI

Reposted 2 Days Ago
Be an Early Applicant
Hiring Remotely in CA, USA
Remote
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Base OS Engineer, develop and sustain NVIDIA's Linux-based OS, work on automation infrastructure, and collaborate with hardware and software teams.
Summary Generated by Built In

NVIDIA’s invention of the GPU in 1999 fueled 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, we are increasingly known as “the AI computing company”. We're looking to grow our company, and build our teams with the most resourceful people in the world. Join us at the forefront of technological advancement.

What you'll be doing:

  • NVIDIA BaseOS is the Linux distribution of the NVIDIA GPU based platforms deployed in AI, Data-Analytics, Autonomous vehicle industries. Your role as a Base OS Engineer is to develop the Ubuntu and RHEL based OS image flavors across platforms.

  • Your role as a Base OS Engineer will also include sustaining the existing NVIDIA DGX and HGX systems.

  • Work closely with System/Software development teams to build the common infrastructure for automation and use the latest industry standard tools!

  • Work closely with Hardware and Firmware development teams to bring up new NVIDIA platforms, from power on to OS boot.

What we need to see:

  • BS or Masters in computer science, or related field or equivalent experience.

  • 5+ years of experience.

  • Excellent C and Python programming skills. Your expertise in coding is essential to your success in this role.

  • Familiarity with at least one major Linux distro (Ubuntu, RedHat, SLES) is required.

  • Experience creating your own Debian or RPM package and repository is highly desirable.

  • Knowledge of OS concepts such as filesystems, job scheduling, device drivers, and storage, is required.

  • Experience with complex system-level debugging is invaluable, from X/Wayland to systemd to analyzing crash dumps to install issues.

  • Excellent communication and planning skills.

Ways to stand out from the crowd:

  • Knowledge of virtualization concepts such as device passthrough and SR-IOV.

  • Background in PCIe, USB, and similar low level protocols is recommended. Experience with UEFI and BMC firmware is strongly favored.

  • Basic knowledge of tools deploying Containers or Kubernetes technologies is preferred. Having written software in GitHub with exposure to opensource development life cycle is desired.

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 and autonomous, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 25, 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
Containers
Debian
Git
Kubernetes
Linux
Python
Rhel
Rpm
Ubuntu
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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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