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

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

Descrizione del lavoro

A leading technology firm in Italy is seeking a candidate to work on GPU support for OpenAI/Triton. The role involves developing new features, optimizing performance, and collaborating with the community. Ideal candidates should possess strong C/C++ programming skills, experience with compiler internals, and a basic understanding of Python. Benefits include flexible working hours, access to training programs, and a dynamic work environment.

Servizi

Flexible working hours

Access to Luxoft Training Center

Continuous learning & development programs

Employee discounts and perks

Dynamic and fast-paced projects

Knowledge-sharing communities

Brainstorming sessions

Friendly company culture

Team-building events & celebrations

Competenze

• Strong grasp of C / C++ programming and compiler internals.
• Basic Python programming skills with experience in performance analysis.
• Knowledge of GPGPU computing technologies is a plus.

Mansioni

• Develop new features for OpenAI/Triton project for GPUs.
• Support and optimize projects for GPU performance.
• Communicate with developers, customers, and project managers.
• Implement tests and manage project documentation.

Conoscenze

Strong C / C++ programming skills

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

Basic Python programming skills

Experience in performance analysis

Basic understanding of ML technologies

Experience with GPGPU computing (HIP, CUDA, OpenCL, etc.)

Experience with PyTorch

Experience with LLVM and MLIR compiler infrastructure

Knowledge of ROCm infrastructure

Experience in CMake, make / ninja build system

GEMM performance fundamentals

Experience with Docker

Strumenti

CMake

Docker

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