Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization
NVIDIA, US, CA, Santa Clara
About the job
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, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world.
What you’ll be doing
- You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms
- Implement power and thermal management software features in Linux Kernel and user space
- Collaborate with power architects, hardware and software engineers on platform power estimation and optimization
- Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments.