Project  Description

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 HIP / ROCm applications to join our team. The primary responsibility of this role will be to lead the effort in porting CUDA kernels to HIP. The ideal candidate should possess a strong background in GPU computing, parallel programming, and a deep understanding of both CUDA and HIP frameworks. Additionally, familiarity with optimization techniques is highly desirable.

Responsibilities

- The main task will be to help port CUDA kernels on HIP, it will involve ptx kernel to amd asm
- 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

Skills

Must have

Proficiency with C/C++ and GPU Assembler
Good knowledge of NVIDIA PTX
Proficiency in CUDA or HIP / ROCm programming
Solid understanding of GPU architectures, parallel programming models, and optimization techniques
Previous experience in porting CUDA applications to HIP is preferred
Strong problem-solving skills and the ability to work in a collaborative environment

Nice to have

• OpenCL
• AI/ML/DL
• NVidia SASS Assembly

Languages

English: B2 Upper Intermediate

Seniority

Senior