Six Figure Work

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

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $184,000  to $287,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 other objective job-related factors. The expected base salary range for this position 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 November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($184,000) is above 56% of the 4,267 Software Engineering roles in California listed on this site; 126 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior System Software Engineer – Linux-Tegra Power Management and Performance Optimization (this listing)$184,000 - $287,500
Senior Software Engineer, Subnet Management$184,000 - $356,500
Senior Software Engineer, AI Networking$184,000 - $356,500
Senior Software Engineer, Machine Learning Safety$184,000 - $356,500
Senior Firmware Security Architect, Networking$184,000 - $356,500
Senior Compiler Engineer - AI$184,000 - $287,500
Senior System Software Engineer, Performance - CUDA Driver$184,000 - $356,500

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara

base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.