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.
Join the leading Tegra Tools team at NVIDIA as a Senior System Software Engineer! This role offers an outstanding opportunity to work on breakthrough technology that drives everything from self-driving cars to advanced AI solutions. Our mission is to build flawless software tools that assist in flashing and provisioning NVIDIA chips and platforms across diverse fields. If you are passionate about composing outstanding tools and flourish in a collaborative and ambitious atmosphere, we are eager to hear from you!
What you'll be doing:
Construct, optimize, and direct software tools and infrastructure for flashing and provisioning NVIDIA chips and platforms across Automotive, Embedded, and Data Center products.
Coordinate the full tools lifecycle, initiating from pre-silicon software development through silicon bring-up and post-silicon validation connected to flash and provisioning workflows.
Develop and maintain host and target software tools for flashing and provisioning workflows, assisting both internal NVIDIA teams and external partners working with products for NVIDIA platforms.
Collaborate with hardware build, architecture, firmware, software, and QA teams to define and deliver tooling requirements across the product lifecycle.
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.
5+ years of relevant software development experience.
Strong C/C++ and Python programming skills, with experience shipping production-quality tools.
Solid understanding of software engineering principles and object-oriented programming.
Solid knowledge of computer architecture, low-level interfaces, and host-device communication protocols (USB, UART, SPI, PCIe, JTAG).
Solid comprehension of the SoC boot sequence, spanning from ROM and bootloader phases to kernel initialization, along with the capability to troubleshoot boot failures at multiple points.
Strong problem-solving and debugging skills, including comfort with tools like GDB and JTAG debuggers.
Ways to stand out from the crowd:
Proficient with redefining legacy workflows into agentic.
Kernel or driver experience on Linux, Android, or Windows platforms.
Experience developing bare-metal firmware or device drivers on embedded or SoC platforms.
Familiarity with test automation frameworks and CI/CD pipelines for hardware-in-the-loop testing.
Experience building internal tooling with frontend components, such as web dashboards, GUIs, or visualization layers for flash status and workflows.
Join us at NVIDIA and help build the future of technology with a team that's determined to make a global impact! 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 a diverse 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
- BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience
- 5+ years of relevant software development experience
- Strong C/C++ and Python programming skills, with experience shipping production-quality tools
- Solid understanding of software engineering principles and object-oriented programming
- Solid knowledge of computer architecture, low-level interfaces, and host-device communication protocols (USB, UART, SPI, PCIe, JTAG)
- Solid comprehension of the SoC boot sequence, spanning from ROM and bootloader phases to kernel initialization
- Strong problem-solving and debugging skills, including comfort with tools like GDB and JTAG debuggers
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.”
