Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization

NVIDIA•Us, CA

About The Position

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.

Requirements

MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience
8+ years of software development experience with a significant focus on Linux
Excellent C programming/debugging skills within Linux kernel and user space software
Background with working on embedded systems and ARM processor specific
System-level debugging experience and problem-solving skills
Excellent communication skills

Nice To Haves

Understanding of the Linux power and thermal management features (scheduler, dynamic frequency scaling, runtime power management, suspend to RAM, thermal-zones ..etc), factors influencing power efficiency at chip and platform.
Experience in working with the Linux and open-source software communities

Responsibilities

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.