Software Intern - Embedded Systems 2027

NVIDIA Corporation; Bristol; On-site; GBP 15,000 - 21,000; Full time

Job summary

NVIDIA Corporation in Bristol is seeking a graduate student to join our embedded software team. You will work with ground breaking embedded computing technologies for the Tegra SoC, DGX Spark and Jetson Embedded Platform, with focus on Linux from kernel to applications.

The role involves building software to accelerate deep learning and neural networks for autonomous vehicles, robotics, and analytics, and collaborating with hardware, system and software engineers.

Qualifications

• Pursuing a MS or PhD with a focus in Engineering.
• Strong C and Linux kernel knowledge.
• Experience with embedded systems is essential.
• Able to debug both kernel and user space software.

Responsibilities

• Work with ground breaking embedded computing technologies for the Tegra SoC, DGX Spark and Jetson Embedded Platform.
• Contribute to the Jetson Developer Kit and improve developer experience for mobile and embedded computing.
• Build software to accelerate deep learning and neural networks for autonomous vehicles, robotics and analytics.
• Collaborate with a team of hardware, system and software engineers.

Skills

C programming

Linux

Kernel debugging

User space programming

Education

MS or PhD candidate in Engineering

Tools

CUDA

OpenGL

Linux drivers

Job description

• 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.
  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.
  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.
  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.