NVIDIAPosted 4d ago

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

Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization at NVIDIA scores 60 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, CA, Santa ClaraseniorFull time$184k-$288k

AI in this role

Optimize Linux power and performance for edge AI and robotics workloads on NVIDIA platforms.

linuxc

linux-kernelpower-managementperformance-optimizationembedded-systemsdebugging

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.

What we need to see:

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.

Applications for this job will be accepted at least until September 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Linux KernelPower ManagementPerformance OptimizationEmbedded SystemsDebuggingLinuxC

Questions you could be asked

Tell me about a project where linux kernel was part of your work. What did you do?
Tell me about a project where power management was part of your work. What did you do?
Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where embedded systems was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Linux Kernel, Power Management, Performance Optimization, Embedded Systems, and Debugging. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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