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.
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
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, 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
- Strong programming skills in C/C++
- Scripting experience with Python or similar languages
- In-depth knowledge of computer architecture, operating systems, and hardware-software interactions
- Expertise building system software with demonstrated power and performance improvements
- Strong problem-solving abilities and attention to detail
- Ability to collaborate effectively in a team environment
- Excellent written and verbal communication skills
- Expertise in performance and power measurement, tool development, and simulation or emulation platforms
- Understanding of system-level architecture, including topologies, interconnects, memory hierarchy, interrupts, and memory-mapped I/O
- Knowledge of DVFS, clock and power gating, clock sequencing, binning, and power or thermal budgeting
- Experience analyzing, debugging, and tuning complex system software stacks
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.
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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.
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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.
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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
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.”
