Data Processing Developer Technology Intern - 2027

NVIDIA Corporation; West of England; On-site; GBP 13,000 - 20,000; Full time

Job summary

NVIDIA Corporation invites an internship with the Data Processing Developer Technology team to research and develop GPU-accelerated techniques for AI workloads. You will collaborate with experts to analyze and optimize AI and HPC algorithms on modern CPU/GPU architectures and publish findings in developer blogs or conferences.

You are currently pursuing a PhD or MSc in Computer Science or Computer Engineering.

Qualifications

• Currently pursuing a PhD or MSc in Computer Science or Computer Engineering.
• Strong C/C++ programming and parallel programming experience (CUDA/OpenACC/OpenMP/MPI).
• Excellent communication and organizational skills.

Responsibilities

• Research and develop GPU-accelerated techniques for AI workloads.
• Collaborate with experts to optimize AI/HPC algorithms on CPU/GPU architectures.
• Publish findings in developer blogs or conferences.

Skills

C/C++

CUDA

OpenACC/OpenMP

Parallel programming

Communication

Education

PhD or MSc in CS/CE

Tools

MPI

Job description

We’re currently seeking for an internship position in the Data Processing Developer Technology team. Would you enjoy researching parallel algorithms to accelerate AI and Data Processing workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, we invite you to consider an internship with the Developer Technology Team.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains. Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures. Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

Currently pursuing a PhD or Master degree in Computer Science, Computer Engineering, or related computationally focused science degree. Programming fluency in C/C++ with a deep understanding of algorithms and software development. A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.

Ways to stand out from the crowd:

Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. Excellent understanding of linear algebra.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Applications will be accepted until November 8, 2026. Please note: We will be reviewing applications on a rolling basis as they are submitted. Strong candidates may be contacted for next steps before the application deadline. We encourage you to apply early. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.