CUDA Math Libraries Intern - 2026

This internship role is based in multiple locations including Poland (Warsaw, Remote), Spain (Remote), Switzerland (Zurich), and Germany (Wuerselen).

What you'll be doing:

• Collaborate with team members to understand software use cases and requirements.
• Analyze performance of GPU or CPU implementations and identify improvement opportunities.
• Prototype and develop algorithms for single node and multi GPU clusters.

What we need to see:

• Studying towards a MS or PhD in Computational Science, Computer Science, Applied Mathematics, Engineering, or a related field.
• Programming skills in C/C++ and Python.
• Experience with parallel or GPU programming (e.g., CUDA, OpenCL).

Ways to stand out:

• Exposure to floating-point arithmetic and numerical error analysis.
• Knowledge of GPU/CPU and network hardware architecture.
• Experience with implementing linear algebra algorithms.