Senior GPU System Software Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and validate software for NVIDIA's next-gen SOC platform. Debug memory and hardware issues, collaborate cross-functionally, and support new hardware validation.
Summary Generated by Built In

We are now looking for a Sr Systems Software Engineer. NVIDIA's invention of the GPU 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, we are increasingly known as “the AI computing company”. We are looking to grow our company , and grow our teams with the smartest people in the world
 

Systems Software supports NVIDIA's new high performance chipset business. They are generalists, with a deep understanding of the today's PC architecture, including bus protocols such as PCI, AGP, USB and 1394, and CPU booting, arbitration, and cache management protocols. System engineers program down to the metal and are comfortable around hardware specs. They write software for Networking, Audio, IDE, SMBus and other hardware, and implement support for modern PC standards such as ACPI and OnNow

What you’ll be doing:

  • Developing and validating software for our next-generation SOC platform.

  • Solve and debug problems related to Memory, ACPI, Graphics, and Display to support our customers, partners, and users.

  • Investigating and scoping out the architecture requirement for the next-generation SOC systems.

  • Investigate and debug hard hangs across various system components (CPU, memory, I/O).

  • Collaborate closely with hardware, firmware, and OS teams to isolate root causes.

  • Utilize hardware debug tools (e.g., JTAG) and software diagnostics.

  • Collect and analyse crash dumps, logs, and signal traces.

  • Support validation and bring-up activities for new hardware platforms.

  • Provide feedback for design improvements.

What we need to see:

  • Master’s degree in computer science, Computer Engineering or equivalent experience

  • 7+ years of experience

  • Strong C programming skills as well as having shown initiative in pursuing independent coding projects

  • Solid engineering background and understanding of good code methodology

  • Experience writing code to directly control hardware is a plus

  • Good foundation and knowledge of OS & RTOS concepts.

  • Develop and maintain kernel-mode drivers for Linux and WDDM-compliant drivers for Windows.

  • SOC platform engineering, development/integration/bring up

  • Excellent problem-solving and cross-team collaboration skills

Ways to stand out from the crowd:

  • SOC System level understanding and good knowledge of tools like windbg, gdb, kernel tracing utilities.

  • Familiarity with graphics/display subsystems, DMA, interrupt handling, and memory management.

  • Proficient in navigating the functionalities of diverse IPs within the SOC platform, backed by a robust knowledge of memory management and coherency principles

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Top Skills

C
Gdb
Jtag
Kernel Tracing Utilities
Linux
Rtos
Soc
Windbg
Windows
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

CrowdStrike Logo CrowdStrike

Engineering Manager

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
18 Locations
10000 Employees

CrowdStrike Logo CrowdStrike

Senior Software Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
16 Locations
10000 Employees

CrowdStrike Logo CrowdStrike

NetSuite Support Administrator

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
MH, IND
10000 Employees

CrowdStrike Logo CrowdStrike

Sr. Tools Engineer/Collaboration Services/Google Workspace/Slack (Remote, IND)

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Remote or Hybrid
MH, IND
10000 Employees

Similar Companies Hiring

Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees
Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account