Senior System Software Engineer - GPU

Posted 7 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior System Software Engineer will design and develop critical GPU kernel drivers and embedded software. Responsibilities include collaborating with hardware and software engineers, building data center servers, and performing modeling and simulation. Requires strong C programming skills and a deep understanding of system architecture.
Summary Generated by Built In

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU Software team. As someone who is hardworking and passionate about their work, this role will design key aspects of our production GPU kernel drivers and embedded SW. In this role, one should demonstrate the ability to excel in an environment with complex software and hardware designs.

What you'll be doing:

  • Define, design, develop and verify features for our GPUs; collaborating with hardware engineers and fellow software engineers

  • Build platforms and systems using our GPUs & CPUs that make the next generation data center servers, supercomputers, customer desktops, notebooks, workstations, and gaming console products

  • Be heavily involved with the early modeling and simulation required to produce our world-class products

  • Have multiple opportunities to collaborate and communicate effectively with teams across the globe

What we need to see:

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

  • 12+ years of meaningful software development experience

  • Strong 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.)

  • Kernel experience with Linux, Android, Chrome, or Windows systems

Ways to stand out from the crowd:

  • Background and strength with complex system-level debugging is invaluable

  • Deep understanding of memory management and virtualization concepts

  • Familiarity with kernel level security concepts

  • Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models

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.
 

#LI-Hybrid

The base salary range is 220,000 USD - 339,250 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
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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