Senior ML Framework Developer (PyTorch)

Luxoft • Poland
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description

đź”” Are you already in Poland? If YES this is the project for YOU!


Our benefits:

👩‍⚕️ Private Medical Care in Luxmed and Life Insurance

🏋️‍♀️ Multisport Card

👨‍👧‍👦 Paid referrals

📚 Self-learning libraries

🛫 Relocation package for seniors and assistance during all process...and MORE!





Project Description:

Development of modern tools for working with AI / ML on the GPU. Implementation of algorithms for working with graphic processors. Working with GPU neural network calculations. Work with the AI/ML development team and the open-source community to analyze, develop, test, and deploy performance improvements for neural networks on GPUs with AMD ROCm, working on enabling ROCm HIPSOLVER/cuSOLVER in PyTorch



Responsibilities:

Develop, support and optimize PyTorch project for GPU. Communication with developers, customers, and project managers. Create, document, and execute unit/component/functional tests. This might involve one or more of the following:

â—Ź Modifying PyTorch UT code to adapt it for ROCm

â—Ź Filing JIRAs on ROCm components that have missing features needed for the UTs



Mandatory Skills Description:

Proficiency with PyTorch, C/C++ and Python.

• Knowledge of GPU computing (HIP or CUDA or OpenCL)

• Experience in CMake, make/ninja build system, Docker

• Software Version Control (Git)

• Knowledge in ML/NN

The successful candidate should possess the following traits:

â—Ź Proficiency in problem-solving and troubleshooting technical issues

â—Ź Time management, prioritization and multi-tasking skills

â—Ź Ability to handle multiple competing priorities in a fast-paced environment

â—Ź Personal initiative, commitment, perseverance and resilience

â—Ź Well-developed communication and teamwork skills

â—Ź Aspiration to engineering excellence



Nice-to-Have Skills Description:

Knowledge of ROCm, HIP, Jenkins, PyTorch Internals,

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