Lead System Software Engineer Platform - Server Embedded Firmware
Nvidia · Santa Clara, CA
About this role
Nvidia is hiring a senior-level Embedded Software Engineer in the software engineering function based in Santa Clara, CA. The posting calls out experience with Testing, Python, C, Bash.
- Role
- Embedded Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Clara, CA
- Posted
- May 19, 2026
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Job description
from Nvidia careersNVIDIA’s invention of the GPU in 1999 fueled 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, we are increasingly known as “the AI computing company.” We're looking to grow our company, and form teams with the smartest people in the world.
Are you ready to change the next generation of computing? Join us at the forefront of technological advancement.
What you’ll be doing:
Design and implement Microcontroller Firmware for GPU Server platforms, focusing on but not limited to ARM M-class microcontrollers.
Develop C/C++ server manageability features in an RTOS embedded-optimized environment.
Perform hands-on work with microcontroller firmware bring-up, debugging, performance analysis, and coding manageability features for NVIDIA’s Server platforms.
Develop embedded management software to enable reporting and connectivity between server management devices.
Implement register-based communication and DMTF standard messaging protocols for seamless interaction between BMC, GPUs, switches, memory, I/O expanders, sensors, and local microcontroller peripherals.
Design a highly portable microcontroller framework that will be implemented across a wide variety of server management subsystems. Develop and review code, write and review design documents, and collaborate with team members to meet product requirements.
This is an excerpt. Read the full job description on Nvidia careers →