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.
We are looking for an experienced Senior Software Engineer for the Embedded Platform team. This is an outstanding opportunity to accelerate the pace of Jetson, IGX and DGX Spark Product Software system development within NVIDIA. Using your expansive knowledge of embedded platforms, Linux kernel operating systems, and software architectures, you will work with a world-wide development team to address the unique challenges of delivering the world's most powerful platform for crafting solutions for AI at-the-edge. Have you worked on Linux-based embedded products through full product lifecycles and have a passion for hands-on building of innovative products? If so, this position is for you!
What you'll be doing:
Implement features that showcase the capabilities of Jetson, IGX and DGX Spark platforms.
Bring the latest AI at-the-edge generations to life by working on sophisticated system-on-module designs.
Contribute broadly from hardware platform bringup to boot firmware, Linux kernel device drivers, RTOS firmware and software SDKs.
Collaborate with various teams to craft and develop system-level software solutions.
Engage in the full product lifecycle, from hardware bring-up to production deployment.
What we need to see:
Bachelor’s or Master’s degree in Computer engineering or equivalent experience.
8+ years of shown experience in Linux and sophisticated embedded systems development.
Excellent C/C++/bash programming skills.
Able to understand the platform hardware schematics and engage with hardware team.
Knows oscilloscope, logic analyzer for the hardware debugging
Knows software debugging tools specifically used at linux kernel and firmware level.
Prior knowledge of driving platform board support package (BSP) features and release.
Outstanding technical skills and the ability to work across complementary teams.
Shown success in problem-solving and interpreting technical specifications.
Ways to stand out from the crowd
Experience in platform validation, bringup for edge or embedded devices, involve in SoC and platform IOs bringup checkouts, coordinating with various stack holders if needed, debug and test.
Develop complete platform Board Support Package (BSP) for the release
Familiarity with embedded microprocessor architectures such as ARM, Linux kernel and various subsystems within.
Contributions to tools or frameworks for hardware bring‑up, diagnostics, automated test systems, or execution tracking in Linux‑based edge environments
Experience with Jetson, IGX, DGX Spark developer kits.
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 Engineering or equivalent experience
- 8+ years of experience in Linux and sophisticated embedded systems development
- Excellent C, C++, and Bash programming skills
- Ability to understand platform hardware schematics and collaborate with hardware teams
- Experience using oscilloscopes and logic analyzers for hardware debugging
- Knowledge of Linux kernel and firmware-level software debugging tools
- Experience driving platform Board Support Package features and releases
- Strong technical skills and ability to work across complementary teams
- Demonstrated problem-solving ability and ability to interpret technical specifications
- Experience with platform validation and bring-up for edge or embedded devices
- Experience with SoC and platform I/O bring-up, debugging, and testing
- Experience developing complete platform Board Support Packages for release
- Familiarity with ARM architectures, Linux kernel, and related subsystems
- Experience contributing to hardware bring-up tools, diagnostics, automated test systems, or execution tracking frameworks
- Experience with Jetson, IGX, or DGX Spark developer kits
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.”
