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

• 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.

• 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

Ways to stand out from the crowd:

• 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

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and hardworking people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you.

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.

You will also be eligible for equity and benefits.

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.