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

Luxoft Italy; Lazio; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading tech consultancy in Italy is seeking a developer for GPU support on OpenAI/Triton projects. The ideal candidate will possess strong C/C++ skills and experience with performance analysis, compiler internals, and programming. Responsibilities include developing new features, optimizing performance, and collaborating with key stakeholders. The role offers flexible working hours and opportunities for continuous learning in a dynamic environment.

Servizi

Flexible working hours

Access to training center

Continuous learning & development programs

Employee discounts and perks

Dynamic projects

Friendly company culture

Team-building events

Competenze

• Experience with compiler internals (LLVM, GCC or any other).
• Basic understanding of ML technologies.
• Experience with GPGPU computing (HIP, CUDA, OpenCL, etc.).
• Experience with PyTorch.
• Experience with LLVM and MLIR compiler infrastructure.

Mansioni

• Develop new features and optimize OpenAI/Triton project for GPUs.
• Communicate with developers, customers, and project managers.
• Implement tests, document projects, and verify systems with functional tests.

Conoscenze

Strong C / C++ programming skills

Basic Python programming skills

Experience in performance analysis

Strumenti

Docker

CMake

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.

Skills

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
• Friendly company culture
• Team-building events & celebrations