Senior GPU Compiler Software Development Engineer

Luxoft; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Health & dental insurance

Internal mobility

More perks

Job summary

Luxoft is seeking a developer to work on GPU support for OpenAI/Triton — a compiler for high‑performance DL primitives. You will analyze, develop, test, and deploy performance improvements on GPUs using ROCm, collaborating with the open‑source community.

You will implement new features, optimize the project for GPUs, and coordinate with developers, project managers, and customers to ensure robust tooling and documentation.

Qualifications

• Experience with compiler internals (LLVM, GCC or equivalent).
• Basic Python programming skills.
• Experience in performance analysis.

Responsibilities

• New features development, support and optimization of OpenAI/Triton project for GPUs.
• Communication with other developers, customers and project managers.
• Test implementation, project documentation and verification of system with unit/component/functional tests.

Skills

Compiler internals (LLVM/GCC)

Python programming

Performance analysis

Tools

CMake

Make

Ninja

Job description

Benefits

• Private Medical & Dental care & Life Insurance covered


• Internal Mobility program - possibility of rotation between projects, locations, accounts


• …and more!

Project Description

Working on GPU support for OpenAI/Triton — a language and compiler for writing highly efficient custom Deep‑Learning primitives. Work with the open‑source community to analyze, develop, test, and deploy performance improvements for neural networks implemented with Triton on GPUs with ROCm.

Responsibilities

New features development, support and optimization of OpenAI/Triton project for GPUs. Communication with other developers, customers and project managers. Test implementation, project documentation and verification of system with unit/component/functional tests.

Mandatory Skills

• Experience with compiler internals (llvm, gcc or any other)


• Basic Python programming skills


• Experience in performance analysis

Nice-to-Have Skills

• Basic understanding of ML technologies


• Experience with GPGPU (General purpose GPU) computing (HIP, CUDA, OpenCL, etc.)


• Experience with PyTorch


• Experience with LLVM and MLIR compiler infrastructure, analysis or optimizations implementation


• Knowledge of ROCm infrastructure


• Experience in CMake, make/ninja build system