Software Intern - Embedded Systems 2027

NVIDIA is hiring a Software Intern - Embedded Systems 2027 in Bristol, United Kingdom. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include computer vision.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

computer-vision

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.

How we rate this

Software Intern - Embedded Systems 2027 at NVIDIA rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Intern - Embedded Systems 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in UK, Bristol.
The job was posted on October 21, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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