System Software Engineer - GPU and SOC

Posted 4 Hours Ago
Hiring Remotely in SC
Remote
5-7 Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a GPU/SOC system software engineer at NVIDIA, you will design, implement, and debug changes in the NVIDIA software stack, focusing on kernel-mode software and collaborating with teams globally. Your role involves working with complex system level interactions and ensuring platform performance and robustness.
Summary Generated by Built In

NVIDIA is searching for a highly motivated, creative engineer to join the GPU Software team. As a GPU/SOC system software engineer, you will work with a team of very hardworking software and hardware engineers involving a wide variety of technologies. As someone who is hardworking and passionate about their work, you will craft and debug key aspects of our production GPU and SOC kernel drivers and embedded SW, focusing on platform performance, power savings, and robustness. You should demonstrate the ability to excel in an environment with intricate system level interactions.

What you'll be doing:

  • Design, implement and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production, with focus on kernel-mode SW

  • You will follow the devices all the way through the development process to datacenter systems, customer desktops, notebooks, workstations, and gaming console products that are used throughout the world.

  • Be heavily involved in emulation, bringup, and product hardening required to build our groundbreaking products

  • Multiple opportunities to collaborate and communicate optimally with teams from all around the globe

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or equivalent experience

  • 5+ years of meaningful software development experience

  • Background in solving problems that apply to sophisticated systems deployed at scale.

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

  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Strong Operating systems fundamentals with Kernel experience on Linux or Windows systems

Ways to stand out from the crowd:

  • Background and strength with system-level (SW and HW) debugging is invaluable

  • Windows Driver Models, with WDDM or MCDM a strong plus.

  • Familiarity with system level security concepts

  • Experience with system SW concepts.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA is also an equal opportunity employer. We have some of the most forward-thinking and hardworking people in the world 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.

The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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