AI Compiler Intern, CUDA Tile IR - Summer 2027

NVIDIA is hiring an AI Compiler Intern, CUDA Tile IR - Summer 2027 in Zurich, Switzerland. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions speech among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,700+ other open roles on Level.
Posted in the last few days.

AI in this role

speech

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are now hiring deep learning compiler engineering interns to work on CUDA Tile IR!

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. CUDA Tile IR is a new and exciting way to program those GPUs.

Come join us to work with an outstanding team and make an impact across the entire deep learning community.

What you'll be doing:

Improve the performance and expressivity of CUDA Tile IR.
Analyze deep learning networks and developing compiler optimization algorithms, adding new constructs to the language to better enable various workloads, and expanding support to new hardware generations.
Collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

What we need to see:

Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering, Electrical Engineering, Computer Science, or a similar field
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

Ways to stand out from the crowd:

Experience with the following technologies: MLIR, LLVM, XLA, deep learning models and algorithms, and deep learning framework design.
History of contributions to open-source projects.
Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

How we rate this

AI Compiler Intern, CUDA Tile IR - Summer 2027 at NVIDIA rates 93 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

AI Compiler Intern, CUDA Tile IR - Summer 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Switzerland, Zurich.
The job was posted on November 3, 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

Speech

Questions you could be asked

What have you built with speech recognition or text-to-speech, and where did it break?
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: Speech. 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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