Software Intern - Embedded Systems 2027

NVIDIA

Bristol, UKFull-timeSeen 1 day agoSeen in employer's feed 1 day ago

Bristol, UKFull-timeNo compensation foundSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation

No compensation found

Location

Bristol, UK

Role Type

Internship

Schedule

Full-time

Work Authorization

Not specified

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Job overview

NVIDIA is seeking a Software Intern focused on embedded systems in Bristol. The intern will work with Tegra SoC, DGX Spark, and Jetson platforms; contribute to the Jetson Developer Kit and developer experience; and build software for deep learning, neural networks, autonomous vehicles, robotics, and analytics. The role involves collaboration with hardware, system, and software engineers.

Skills & qualifications

RequiredNice to have

Skills

LinuxEmbedded SystemsC ProgrammingDebuggingProblem SolvingLinux DriversOpen-Source SoftwareAgentic AIDeep LearningNeural NetworksComputer VisionCUDAOpenGLBoot Loaders

Qualifications

MS or PhD in Engineering

Full job description

UK, Bristol

Full time

JR2028274

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.