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

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

Descrizione del lavoro

A leading technology company in Genova is seeking a skilled GPU Developer. You will work on the OpenAI/Triton project, focusing on new feature development and optimization for GPUs. Required skills include strong proficiency in C/C++, experience with compiler internals, and basic Python knowledge. This role offers flexible working hours and various development opportunities in a collaborative environment.

Servizi

Flexible working hours

Access to training center

Continuous learning programs

Employee discounts

Friendly company culture

Competenze

• Proficient in C / C++ programming languages.
• Experience with compiler internals such as llvm or gcc.
• Basic understanding of Python for development tasks.
• Track record of performance analysis on GPU-related projects.

Mansioni

• Develop new features and optimize OpenAI/Triton for GPUs.
• Communicate with developers and project managers.
• Implement tests and document the project comprehensively.

Conoscenze

Strong C / C++ programming skills

Experience with compiler internals

Basic Python programming skills

Experience in performance analysis

Strumenti

Docker

CMake

LLVM

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