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

Luxoft Italy; Novara; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading tech consulting firm in Novara is seeking a developer to enhance GPU support for the Triton project. The role involves developing new features, optimizing performance, and collaborating with project stakeholders. The ideal candidate should have strong C/C++ skills and experience with compiler internals. This position offers dynamic projects and a friendly work environment.

Servizi

Flexible working hours

Access to training center

Continuous learning programs

Employee discounts

Team-building events

Competenze

• Experience in optimizing projects for GPU support.
• Familiarity with GPGPU computing (HIP, CUDA, OpenCL, etc.) is a plus.
• Good command of English (B2 level) is required.

Mansioni

• Develop new features for the OpenAI / Triton project.
• Communicate effectively with developers and project managers.
• Conduct testing and verification of the system with unit/component testing.

Conoscenze

Strong C/C++ programming skills

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

Basic Python programming skills

Experience in performance analysis

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