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Verified by our engine · Posted yesterday

NVIDIA

Software Engineering Intern, Developer Tools - 2027 New

NVIDIA · Intern

France

Intern

SoftwareAssemblyC++CUDALinux

Last seen 5h ago

Posted
yesterday

Posted on 26 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

At NVIDIA, we build groundbreaking products for the following businesses: Automotive, Gaming, Deep Learning, and High-Performance Computing. Make a significant impact and contribute to the development of tools and software components used to debug, profile, and analyze GPU accelerated applications through the developer tools product line. Learn and innovate as you develop across any layer of the software stack, from user workflows, graphics user interfaces design, tools software systems, compute or graphics driver code bases, to the lower level of the GPU registers and microcode - develop the most powerful tools to enable next-gen GPU accelerated application breakthrough. As a Developer Tools Software Engineering intern, you will help developing software that empowers GPU application developers to build GPU applications that are known throughout the world – from graphics to compute to deep learning. We are seeking a passionate software developer to join our effort to advance the state of software performance tuning and debugging for the GPUs on NVIDIA platforms.

What you'll be doing:

Develop the Compute Sanitizer (which is a suite of memory checker) tools for GPUs running on Linux, Windows, and embedded operating systems

Work with developer tools, driver and architecture teams to contribute to the design, implementation, and verification of product features and components that are part of the Developer Tools product portfolio

Develop user workflows and user interface solutions to empower the user of the products

Innovate and improve our GPU profiling and debugging libraries with new features to allow NVIDIA's customers to extract the best performance out of their applications

Working on validation and hardware bring up of NVIDIA GPU developer tools features that are utilized by compute-sanitizer

What we need to see:

Pursuing a B.S. EE/CS, MS, or PhD

Passionate about the GPU - compute - and learning how complex systems work

Passionate about quality and driven by results

Strong programming ability in C, C++

Knowledge of computer architecture (e.g.: x86, ARM CPUs, GPUs)

Experience working in device drivers, real-time systems, game console middleware, or other low-level library development

Ways to stand out from the crowd:

Background including experience with shipping commercial applications, contributing code to device drivers or system software

Knowledge of a GPU API such as: Direct3D, Vulkan, OpenGL, OpenCL, CUDA and simulation or Emulation experience - writing and debugging tests

Experience with code patching and ELF/DWARF knowledge

Understand core technologies as it applies to GPU hardware and ability to read and write assembly language for multiple processor architectures

Knowledge or experience in compute architecture, operating systems, and compilers and for candidates interest in GUI work – experience with Qt

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.

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.