Senior Software Engineer - SOC Platforms

About the role

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 & SOC 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 & SOC systems and platform software, driving the next era of accelerated computing!

What you'll be doing:

- System Software Generalist: You will take ownership for platform software including kernel device driver development, firmware / BIOS interactions, health monitoring, system-level features on new GPU / SOC platforms and products. Looking for proactive, knowledgeable engineers open to switch between various critical products / projects / modules and deliver results.

- Observability stack expert: Design and develop high-performance, distributed observability platforms handling high-volume data (metrics, logs, traces etc), real time monitoring, logging and alerting across diverse products having diverse environments and develop backend pipeline, analytics platform with a focus on performance at scale.

- Full stack software engineer: Develop productions applications, solutions and features for NVIDIA SOC products.

- Partnering with software, driver, and product / data center/Cloud units, you will launch new GPU platforms, resolve sophisticated system challenges, and improve performance, features and stability across configurations.

- Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and data pipeline, business intelligence skills.

- 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.

- 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.

- Apply your expertise in Operating Systems, Computer architecture to manage CPU–GPU interactions, PCIe, memory hierarchy, interrupts, and firmware/bootloaders.

What we need to see:

- BS/MS/PhD (or equivalent experience) in Computer Science or a related degree, along with multiple years of experience in systems, platform, embedded, or GPU software roles.