This role has closed 2h ago. It is no longer on NVIDIA's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

Verified by our engine · Posted 1w ago

NVIDIA

Software Intern - Embedded Systems 2027

NVIDIA · Intern

Bristol

Intern

Embedded & hardwareComputer visionCUDALinux

Last seen 6h ago

Posted
1w ago

Posted on 21 October 2026

Workplace
On-site

Work model: On-site

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

This role has closed. It's kept as a record — see NVIDIA's open roles or the similar live roles below.

See NVIDIA's open roles

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, we are increasingly known as “the AI computing company”. We are looking to grow our company, and grow our teams with the smartest people in the world.

What you’ll be doing:

You will work with ground breaking embedded computing technologies for the Tegra SoC , DGX Spark and Jetson Embedded Platform.

Contribute broadly to advance the capabilities of the Jetson Developer Kit and developer experience for mobile and embedded computing, demonstrating your thorough understanding of Linux, from kernel through applications, packaging and distributions.

Build software to accelerate key technologies such as deep learning and neural networks, for use in autonomous vehicles, robotics and analytics.

Collaborate with a team of hardware, system and software engineers.

What we need to see:

Pursuing a MS or PhD degree with a focus in Engineering

Software development experience with a significant focus on Linux and embedded systems.

Excellent C programming/debugging skills within Linux kernel and user space software.

System-level debugging experience and problem-solving skills.

Ways to stand out from the crowd:

Experience in working with the Linux drivers and open-source software communities (upstreaming).

Hands-on experience with Agentic AI systems.

Familiarity with Deep Learning and neural networks, computer vision, CUDA and OpenGL application programming.

Experience with embedded systems, especially boot loader components.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the brightest people in the world working for us and, due to unprecedented growth, our outstanding engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

About NVIDIA

NVIDIA's European sites — Munich, Zurich, Kyiv, Amsterdam — cover deep learning, driver and systems software rather than sales engineering. One of the few places in Europe doing serious GPU and inference infrastructure work.