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

Luxoft Italy

Perugia

In loco

EUR 45.000 - 60.000

Tempo pieno

Oggi
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Descrizione del lavoro

A technology solutions provider in Italy is seeking a skilled developer for GPU support on the OpenAI/Triton project. Responsibilities include developing new features, optimizing performance, and communicating with stakeholders. Candidates should have strong C/C++ programming skills and experience with compiler internals. The role offers flexible working hours and opportunities for continuous learning and development.

Servizi

Flexible working hours
Access to Luxoft Training Center
Continuous learning & development programs
Employee discounts and perks
Dynamic and fast-paced projects
Knowledge-sharing communities
Brainstorming sessions and idea-sharing meetings

Competenze

  • B2 Upper Intermediate English proficiency is required.
  • Experience in GPGPU computing (HIP, CUDA, OpenCL) is beneficial.
  • Knowledge of ROCm infrastructure is a plus.

Mansioni

  • Develop new features for the OpenAI / Triton project.
  • Communicate with developers, customers, and project managers.
  • 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.

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
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