GPU Kernel Performance Lead (HIP/CUDA)

Luxoft; Torino; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Italy seeks an experienced developer with GPU compute skills to lead the optimization of HIP kernels on AMD GPUs. This role involves close collaboration with development teams, debugging, and enhancing GPU-accelerated applications. The ideal candidate should have strong proficiency in C++ and CUDA/HIP, with a solid understanding of GPU architectures and optimization techniques. Familiarity with AI/ML techniques is also preferred.

Competenze

• Experience in GPU compute and performance profiling.
• Strong background in GPGPU applications.
• Familiarity with optimization techniques.

Mansioni

• Optimize HIP kernels for AMD hardware.
• Collaborate with teams on GPU-accelerated applications.
• Debug, profile, and fine-tune code for performance.

Conoscenze

C++ proficiency (C++ 17)

CUDA or HIP programming

GPU architectures understanding

Parallel programming models

Problem-solving skills

AI/ML/DL/NN/NLP/Computer Vision experience

Python

Strumenti

Linux

gdb/LLDB

Jinja2 or similar templating engines

Descrizione del lavoro

A leading tech company in Italy seeks an experienced developer with GPU compute skills to lead the optimization of HIP kernels on AMD GPUs. This role involves close collaboration with development teams, debugging, and enhancing GPU-accelerated applications. The ideal candidate should have strong proficiency in C++ and CUDA/HIP, with a solid understanding of GPU architectures and optimization techniques. Familiarity with AI/ML techniques is also preferred.