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

at Nvidia

📍 Santa Clara, United States

USD 184,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 6 Debugging @ 7 Linux @ 7 Robotics Software Development @ 7

Details

NVIDIA is developing technologies for Tegra SoCs and embedded platforms, supporting edge AI, robotics, and other demanding real-world workloads.

Responsibilities

Work with Tegra SoCs and various NVIDIA embedded platforms.
Implement power and thermal management software features in the Linux kernel and user space.
Collaborate with power architects, hardware engineers, 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.
Improve compute and memory utilization, reduce latency and power consumption, and tune system-level performance to deliver reliable and scalable AI workloads.

Requirements

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related software or hardware engineering major, or equivalent experience.
8+ years of software development experience with a significant focus on Linux.
Excellent C programming and debugging skills in Linux kernel and user-space software.
Experience working with embedded systems and ARM processors.
System-level debugging experience and strong problem-solving skills.
Excellent communication skills.

Preferred Qualifications

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

Benefits

Competitive salary.
Generous benefits package.
Equity eligibility.

Applications will be accepted at least until September 25, 2026. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.