What you will do

Luxoft is searching for talented developers with GPU compute and performance profiling experience to join the rapidly growing team.

We are seeking an experienced individual proficient in GPGPU applications to join our team. The primary responsibility of this role will be to lead the effort in optimizing HIP kernels on AMD GPUs. The candidate should possess a strong background in GPU computing, parallel programming, and a deep understanding of CUDA or HIP frameworks. Additionally, familiarity with optimization techniques is highly desirable.

The main task will be to help optimize HIP kernels for specific AMD hardware

Collaborate with development teams to optimize and enhance GPU-accelerated applications.

Debug, profile, and fine-tune code for performance improvements.

Stay updated with the latest advancements in GPU architectures and programming models.

Requirements

MUST

Proficiency with C++ and low-level programming (at least C++ 17)

Proficiency in CUDA or HIP / ROCm programming

Solid understanding of GPU architectures, parallel programming models, and optimization techniques

Strong problem-solving skills and the ability to work in a collaborative environment

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

Python

NICE TO HAVE

Linux

CPU Intrinsics (AVX/SSE)

GPU Assembler

Profiling

gdb/LLDB

Jinja2 or similar templating engines