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Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization
AI in this role
Implement power and thermal management software in Linux kernel and user space to optimize edge AI and robotics workloads.
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 15, 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.How we rate this
Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization at NVIDIA rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Questions you could be asked
- Tell me about a project where 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 embedded systems 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?
- Walk me through how you've used Linux in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Kernel, Power Management, Embedded Systems, Performance Optimization, and Linux. 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.
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