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

Luxoft Italy; Terni; In loco; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading tech firm is seeking a developer for GPU support on the OpenAI/Triton project, focusing on optimizing and developing features for neural networks. The ideal candidate will have strong C/C++ capabilities, experience with compiler internals, and basic Python skills. The role offers flexible hours, access to training programs, and a dynamic project environment. Join a friendly culture that values continuous learning and team-building initiatives.

Servizi

Flexible working hours

Access to training center (technical & leadership courses)

Continuous learning & development programs

Employee discounts and perks

Dynamic and fast-paced projects

Knowledge-sharing communities

Friendly company culture

Team-building events & celebrations

Competenze

• Strong C / C++ programming skills essential for development.
• Experience with compiler internals helps enhance project capabilities.
• Basic Python skills necessary for utilities and testing.

Mansioni

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

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

• 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

Other 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