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

Luxoft Italy; Lecce; Ibrido; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology firm in Italy seeks a skilled developer to work on GPU support for its OpenAI/Triton project. The role involves developing new features, optimizing project performance, and collaborating with various stakeholders. Candidates must have strong C/C++ programming skills, experience in compiler internals, and a foundational understanding of performance analysis. This position offers flexible working hours and access to training courses, making it ideal for motivated professionals looking to advance their skills.

Servizi

Flexible working hours

Access to Luxoft Training Center

Continuous learning & development programs

Employee discounts and perks

Dynamic and fast-paced projects

Competenze

• Strong C / C++ programming skills required.
• Experience with compiler internals like llvm or gcc.
• Basic understanding of Python programming.
• Experience in analyzing performance of applications.

Mansioni

• Develop new features and optimize the OpenAI/Triton project.
• Communicate with developers and project managers.
• Implement tests and document projects.
• Verify systems with unit/component functional tests.

Conoscenze

Strong C / C++ programming skills

Experience with compiler internals (llvm, gcc)

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.

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