Senior GPU Kernel Developer

Luxoft; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology firm in São Paulo is looking for experienced developers proficient in GPU computing and performance profiling. The role focuses on optimizing HIP kernels on AMD GPUs, requiring strong skills in C++, CUDA or HIP programming. Candidates should be problem solvers, work collaboratively, and have an understanding of AI/ML techniques. The position offers opportunities to work on cutting-edge GPU architectures.

Qualificações

• Proficiency with C++ and low-level programming (at least C++ 17).
• Proficiency in CUDA or HIP / ROCm programming.
• Strong understanding of GPU architectures, parallel programming models, and optimization techniques.

Responsabilidades

• Help optimize HIP kernels for specific AMD hardware.
• Collaborate with development teams to enhance GPU-accelerated applications.
• Debug, profile, and fine-tune code for performance improvements.

Conhecimentos

C++

CUDA or HIP programming

GPU architectures

Parallel programming models

Python

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

Ferramentas

Linux

gdb/LLDB

Descrição da oferta de emprego

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 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.

Responsibilities

• 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

SKILLS

Must have

• 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 techniquesStrong 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