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

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop Linux kernel and user-space power and thermal management software for NVIDIA Tegra and embedded platforms. Optimize performance, efficiency, latency, compute and memory utilization for edge AI and robotics workloads. Collaborate with hardware, software, and power architecture teams on platform estimation and optimization. Requires strong C, Linux, embedded systems, ARM, and system-level debugging experience.
Summary Generated by Built In

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.

Skills Required

  • Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related software/hardware engineering field, or equivalent experience
  • 8 or more years of software development experience with significant Linux focus
  • Excellent C programming and debugging skills in Linux kernel and user-space software
  • Experience working with embedded systems and ARM processors
  • System-level debugging and problem-solving experience
  • Excellent communication skills
  • Understanding of Linux power and thermal management features, including scheduler, dynamic frequency scaling, runtime power management, suspend to RAM, and thermal zones
  • Experience working with Linux and open-source software communities

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Capital One Logo Capital One

Senior Data Analyst

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
5 Locations
55000 Employees
101K-138K Annually

Capital One Logo Capital One

Director, AI Engineering (Remote - eligible)

Fintech • Machine Learning • Payments • Software • Financial Services
Remote or Hybrid
3 Locations
55000 Employees
245K-335K Annually

Capital One Logo Capital One

Senior Manager, Product Management - Consumer and Developer Experience

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
5 Locations
55000 Employees
183K-250K Annually

Capital One Logo Capital One

Applied Researcher II (AI Foundations)

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
5 Locations
55000 Employees
263K-327K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software • Productivity
US
15 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account