NVIDIA

NVIDIA

Posted via Workday

Senior System Software Engineer - SoC Power

Posted Aug 20, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of experience developing system-level software and firmware
Education
A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

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Role Summary

AI-generated

NVIDIA’s Tegra software organization is seeking a System Software Engineer to develop power-management system software and firmware for Automotive, Embedded, Data Center, robotics, self-driving, and AI computing platforms. The role focuses on improving system performance and energy efficiency through software development, debugging, cross-functional collaboration, and validation.

What You'll Do

  • Build and implement power management policy in system software solutions for Tegra Automotive, Embedded, and Data Center platforms
  • Develop firmware for embedded and Datacenter SoCs with a focus on power management
  • Triage and debug software issues in sophisticated systems and applications
  • Design and carry out power management strategies with cross-functional groups
  • Develop and implement test plans to validate software solutions
  • Detect, analyze, and address energy consumption and efficiency issues

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; 8+ years of experience developing system-level software and firmware for power optimization in Datacenter, Embedded, or ARM-based systems; expertise in building system software; strong programming skills in C/C++ and Python; knowledge of computer architecture, operating systems, and hardware-software interactions.

Required

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience
  • 8+ years of experience developing system-level software and firmware for power optimization in Datacenter, Embedded, or ARM-based systems
  • Expertise in building system software
  • Strong programming skills in C/C++ and scripting languages such as Python
  • In-depth knowledge of computer architecture, operating systems, and hardware-software interactions
  • Excellent problem-solving abilities and attention to detail
  • A collaborative approach with the ability to work effectively in a team environment
  • Outstanding communication skills, both written and verbal

Preferred

  • Expertise in performance/power measurement, tools development, and using simulation/emulation platforms
  • Deep understanding of system-level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Knowledge of performance and power management techniques such as DVFS, clock and power gating, clock sequencing, binning, and...
  • Experience analyzing, debugging, and tuning performance of complex system software stacks

Original job description

Content provided by the employer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you ready to be part of an exceptionally talented team that is driving the next era of computing? NVIDIA's Tegra software organization is seeking motivated System Software Engineers to contribute to our innovative projects. This is your chance to create a lasting impact on products that range from Robotics to self-driving cars and AI Datacenters!

What you will be doing:

  • Build and implement power management policy in system software solutions for Tegra Automotive, Embedded, and Data Center platforms.

  • Develop firmware for embedded and Datacenter SoCs with a focus on flawless power management.

  • Triage and debug various software issues in sophisticated systems and applications.

  • Work together with cross-functional groups to design and effectively carry out power management strategies that guarantee top-tier performance and efficiency.

  • Develop and implement test plans to validate the effectiveness and efficiency of software solutions.

  • Detect, analyze, and address energy consumption and efficiency issues promptly.

What we need to see:

  • A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.

  • 8+ years of experience developing system-level software and firmware for power optimization in Datacenter, Embedded, or ARM-based systems.

  • Demonstrated expertise in building system software, highlighting established power and performance improvements.

  • Strong programming skills in C/C++ and scripting languages such as Python.

  • In-depth knowledge of computer architecture, operating systems, and hardware-software interactions.

  • Excellent problem-solving abilities and attention to detail.

  • A collaborative approach with the ability to work effectively in a team environment.

  • Outstanding communication skills, both written and verbal.

Ways to stand out from the crowd:

  • Expertise in performance/power measurement, tools development, and using simulation/emulation platforms.

  • Deep understanding of system-level architecture, such as topologies, interconnects, memory hierarchy, interrupts, and memory-mapped IO.

  • Knowledgeable in performance and power management techniques such as DVFS, clock and power gating, clock sequencing, binning, and power/thermal budgeting.

  • Experience analyzing, debugging, and tuning performance of complex system software stacks.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 24, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.