CUDA GPU Engineer for Massive Sparse Calculations

Groupe EOLEN; Paris; On-site; EUR 65,000 - 85,000; Full time

Job summary

Groupe EOLEN is looking for a GPU Acceleration Engineer to enhance the performance of a calculation engine by porting algorithms to GPU. Your expertise in CUDA, Rust, and C++ will be essential in achieving massive performance gains.

This 100% remote position allows occasional travel to London for team collaboration. The ideal candidate should have extensive experience in GPU programming and a strong understanding of optimization strategies for large datasets.

Qualifications

• Significant CUDA experience (3+ years) with mastery of kernel optimization.
• Production experience with Rust and deep knowledge of its ownership model.
• Modern C++ (C++11/14/17) and knowledge of GPUs.

Responsibilities

• Port existing Rust/C++ algorithms to CUDA.
• Optimize sparse matrix operations for GPU architecture.
• Collaborate with the engineering team on integration.

Skills

CUDA programming experience

Rust development skills

C++ mastery

Knowledge of sparse matrix algorithms

Performance optimization skills

Tools

NVIDIA GPU

cuBLAS

cuSPARSE

Job description

Groupe EOLEN is looking for a GPU Acceleration Engineer to enhance the performance of a calculation engine by porting algorithms to GPU. Your expertise in CUDA, Rust, and C++ will be essential in achieving massive performance gains.

This 100% remote position allows occasional travel to London for team collaboration. The ideal candidate should have extensive experience in GPU programming and a strong understanding of optimization strategies for large datasets.