Position: GPU Kernel Library Software Developer
Company: Luxoft
Experience required: 3y
English level: upper

The successful person will be an experienced GPU-compute programmer with an eye towards hardware-aware performance optimizations.

Project Description:
Luxoft, in partnership with AMD, is looking for an individual to join a hardworking team developing Deep Learning and High-Performance Computing GPU kernels on the AMD Radeon Open Compute (ROCm) platform and MIOpen, AMD's Deep Learning primitives library which provides highly optimized implementations of different operators.
• https://github.com/ROCmSoftwarePlatform
• https://github.com/ROCmSoftwarePlatform/composable_kernel
• https://github.com/ROCmSoftwarePlatform/MIOpen
The successful person will be an experienced GPU-compute programmer with an eye towards hardware-aware performance optimizations.

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.

Mandatory Skills Description:
• 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 Skills:
• 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

Languages:
English: C1 Advanced