GPU-Accelerated Image & Data Processing Intern

NVIDIA; Warszawa; On-site; PLN 118,000 - 204,000; Part time

Job summary

NVIDIA is seeking motivated interns to help develop GPU-accelerated libraries used in AI, HPC, and data analytics. You will work with senior engineers to extend existing libraries and build new ones for image and data processing.

The role involves implementing new algorithms, API definitions, performance analysis, and solving numerical edge cases, with mentorship and a focus on practical software engineering across AI applications.

Qualifications

• Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or related field.
• Programming skills in C/C++, Python.
• Parallel or GPU programming experience (AVX, NEON, OpenMP, MPI, CUDA or OpenCL).
• Experience with image coding or data compression algorithms is a plus.

Responsibilities

• Collaborate with team to understand software use cases and requirements.
• Research, analyze, and document state-of-the-art algorithms.
• Develop algorithms for image and data compression and processing.
• Analyze and improve performance of existing implementations.

Skills

C/C++

Python

GPU programming

Parallel programming

Education

CS/AI/Applied Math degree

Job description

NVIDIA is seeking motivated interns to help develop GPU-accelerated libraries used in AI, HPC, and data analytics. You will work with senior engineers to extend existing libraries and build new ones for image and data processing.

The role involves implementing new algorithms, API definitions, performance analysis, and solving numerical edge cases, with mentorship and a focus on practical software engineering across AI applications.