Gpu Compiler Software Development Engineer (Gpu, Cuda - Must)

Luxoft Italy; Ravenna; Remoto; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading technology firm is looking for a skilled developer to support GPU integration for OpenAI/Triton. The role includes developing new features, optimizing performance, and collaborating with teams for improvements. Candidates should be proficient in C/C++ and have experience with compiler internals, as well as a basic understanding of Python. The position offers flexible working hours and opportunities for continuous development in a dynamic environment.

Servizi

Flexible working hours

Access to training courses

Continuous learning programs

Employee discounts

Dynamic projects

Knowledge-sharing communities

Competenze

• Proficient in C/C++ with strong programming skills.
• Experienced in compiler internals, preferably with LLVM or GCC.
• Basic Python knowledge is required.
• Familiarity with performance analysis techniques.

Mansioni

• Develop new features and optimize the OpenAI/Triton project for GPUs.
• Communicate effectively with developers, customers, and project managers.
• Implement tests and maintain project documentation.

Conoscenze

Strong C / C++ programming skills

Experience with compiler internals

Basic Python programming skills

Experience in performance analysis

Basic understanding of ML technologies

Experience with GPGPU computing

Experience with PyTorch

Experience with LLVM and MLIR

Knowledge of ROCm infrastructure

Experience in CMake

Experience with Docker

Strumenti

Docker

CMake

LLVM

MLIR

Descrizione del lavoro

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.

Must have

• Strong C / C++ programming skills
• Experience with compiler internals (llvm, gcc or any other)
• Basic Python programming skills
• Experience in performance analysis

Nice to have

• 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
• GEMM performance fundamentals
• Experience with Docker

Languages

English : B2 Upper Intermediate

Benefits

• ✨ Flexible working hours
• Access to Luxoft Training Center (technical & leadership courses)
• Continuous learning & development programs
• Employee discounts and perks
• ⚡ Dynamic and fast‑paced projects
• Knowledge‑sharing communities
• Brainstorming sessions and idea‑sharing meetings