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!
What you'll be doing:
You will 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 we need to see:
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.
Join us at NVIDIA, where your work will have a lasting impact on the world! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Top Skills
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.”
