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

Luxoft Italy; Salerno; Ibrido; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A multinational technology consulting firm in Italy is seeking a skilled GPU Developer to work on the OpenAI / Triton project, focusing on developing and optimizing new features for GPUs. The role requires strong C/C++ programming skills, experience in performance analysis, and effective communication with various stakeholders. You'll enjoy flexible working hours and opportunities for continuous learning and development.

Servizi

Flexible working hours

Access to training center

Continuous learning programs

Employee discounts

Dynamic projects

Knowledge-sharing communities

Team-building events

Competenze

• Strong programming skills in C / C++ required.
• Experience with compiler technologies like llvm or gcc.
• Ability to analyze performance effectively.

Mansioni

• Develop and optimize new features for OpenAI / Triton.
• Communicate with stakeholders and verify project outcomes.
• Implement tests and project documentation.

Conoscenze

Strong C / C++ programming skills

Experience with compiler internals

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