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 Real Time 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 Jetson, IGX based robotics, drones or industrial automation platforms, from board bring-up through production release.
- Define, build and tune real-time Linux Kernel for deterministic workloads based on GPU and SoC dependent accelerators.
- Enable variuos IOs and validate the sensors interfaces robotics, drones or industrial automation depend on.
- Work with robotics partners and internal hardware, safety and middleware teams to turn customer use cases into platform features, reference configurations and tools.
- 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 with strong programming skills.
- Able to understand the robotics, drones or industrial automation platform hardware architecture and engage with hardware team.
- Hands-on experience shipping BSPs for robotics, drones or industrial automation platforms.
- Ability to navigate through linux kernel internals skills: device drivers, device tree, boot flow, debugging with tracing tools.
- Proven real-time Linux kernel development experience.
- Outstanding technical skills and the ability to work across complementary teams.
- Any RTOS experience such as FreeRTOS, Zephyr, etc. is a plus.
- Modeling various GPU, sensors and other accelerator engine workloads related to robotics, drones or industrial automation applications.
Ways to stand out from the crowd
- An understanding of how various middleware frameworks like ROS2 behavior affects platform determinism.
- Built tools or frameworks that let customers configure and verify real-time behavior on deployed systems.
- Familiarity with embedded microprocessor architectures such as ARM, Linux kernel and various subsystems within.
- Experience with any developer kits for robotics, drones or industrial automation platforms.
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
- Strong programming skills
- Understanding of robotics, drone, or industrial automation platform hardware architectures
- Hands-on experience shipping BSPs for robotics, drone, or industrial automation platforms
- Knowledge of Linux kernel internals, including device drivers, device tree, boot flow, and tracing-based debugging
- Proven real-time Linux kernel development experience
- Ability to collaborate across complementary technical teams
- RTOS experience such as FreeRTOS or Zephyr
- Experience modeling GPU, sensor, and accelerator workloads for robotics, drone, or industrial automation applications
- Understanding of ROS2 middleware behavior and platform determinism
- Experience building tools or frameworks for configuring and verifying real-time behavior on deployed systems
- Familiarity with ARM embedded processor architectures, Linux kernel, and related subsystems
- Experience with developer kits for robotics, drones, or industrial automation platforms
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
