Senior Software Engineer - GPU Platforms

NVIDIA • Durham, NC

1d

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to join a dedicated team at the forefront of GPU technology? NVIDIA is looking for a Senior GPU Platforms Engineer to be part of our innovative and ambitious group. This is an outstanding opportunity to work on groundbreaking GPU systems and platform software, driving the next era of accelerated computing!

Requirements

• BS/MS/PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, or a related area, along with multiple years of experience in systems, platform, embedded, or GPU software roles.
• At least 10 years of experience in developing systems and platform software.
• Demonstrated proficiency in C/C++ along with strong Python/scripting abilities, having worked on extensive production codebases and conducted code reviews.
• Strong familiarity with OS and system software, covering Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
• A solid understanding of computer architecture, covering CPU–GPU interactions, PCIe, NVLink, memory hierarchy, interrupts, power management, and firmware/bootloaders.

Responsibilities

• Take responsibility for platform software related to GPU systems, covering boot flows, driver integration, firmware/BIOS interactions, health monitoring, and system-level capabilities on new GPU platforms.
• Partnering with hardware, silicon, driver, and data center/Cloud units, you will launch new GPU platforms, resolve complex system challenges, and improve performance and power across configurations.
• Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and Python/scripting abilities.
• Develop and sustain an in-depth knowledge of OS and system software, concentrating on Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
• Understand how AI workloads map onto NVIDIA architectures (streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink , PCIe, MIG, etc.), and how these architectural features impact latency, throughput, and cost.
• Apply your expertise in computer architecture to manage CPU–GPU interactions, PCIe, NVLink, memory hierarchy, interrupts, power management, and firmware/bootloaders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees