GPU-Accelerated Image & Data Processing Intern

NVIDIA; Zürich; On-site; CHF 17,000 - 28,000; Full time

Job summary

NVIDIA in Zürich invites you to join a multidisciplinary team developing GPU and CPU accelerated software libraries. You will help design and implement algorithms for image and data processing used in AI, HPC, and medical applications, mentored by senior engineers.

This internship emphasizes hands-on software engineering, API design, performance analysis, and exploring numerical edge cases. You’ll contribute to new libraries and potentially extend existing ones, collaborating with partners

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 (jpg, tiff) or data compression algorithms (LZW, DEFLATE).

Responsibilities

• Collaborating with team members 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

Education

Pursuing a degree in Computer Science / AI / Applied Math

Job description

NVIDIA in Zürich invites you to join a multidisciplinary team developing GPU and CPU accelerated software libraries. You will help design and implement algorithms for image and data processing used in AI, HPC, and medical applications, mentored by senior engineers.

This internship emphasizes hands-on software engineering, API design, performance analysis, and exploring numerical edge cases. You’ll contribute to new libraries and potentially extend existing ones, collaborating with partners