All offersGdańskCGPU Kernel Library Software Developer
GPU Kernel Library Software Developer
C
Luxoft Poland

GPU Kernel Library Software Developer

Luxoft Poland
Gdańsk
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent
Operating mode
Remote
Luxoft Poland

Luxoft Poland

Luxoft, a DXC Technology Company, is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. We are a global family with an epic atmosphere – we love what we do!

Company profile

Tech stack

    C++
    master
    English
    advanced

Job description

Responsibilities
The ideal candidate will be responsible for writing high performance GPU kernels for AMD's Machine Learning and Deep Learning Library: MIOpen

• They will be porting and optimizing algorithms for new GPU hardware
• Perform code reviews, building unit tests, authoring detailed documentation related to their work, and working with on-site and off-shore teams to deliver the software solutions on schedule.
• They will play a key role in all phases of the software development including system requirements analysis, coordinating feature design and development across functional and organization boundaries.

Skills

Must have
• Strong programming skills in modern C++ (templates, compile-time optimizations)
• In-depth knowledge about CUDA and or OpenCL
• Experience in parallel computing on GPUs or HW accelerators and/or HPC (High Performance Computation)
• Detailed knowledge about GPU/accelerators hardware architecture from computational perspective
• Extensive experience with parallel programming techniques and optimizations
• Understanding of Linear Algebra routines on tensors
• Experience using version control software such as Git
• Strong understanding of Linux internals, Servers, and Debugging
• Basic knowledge of software development lifecycle, SW practices including debug, test, revision control, documentation, and bug tracking
• Good teamwork and interpersonal skills required
• Ability to work independently and within complementary teams

Nice to have
• Demonstrate flexibility, strong motivation and a proven track record of meeting results-oriented deadlines.
• Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks
• Experience working with and developing virtualization containers and package managers for code deployment

Relocation package
If needed, we can help you with relocation process. Click here for more information.

Ref Number
VR-78512

BENEFITS