Luxoft Poland

Regular/Senior GPU Kernel Library Software Developer

No longer accepting applications

Project Description:


Luxoft 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 for MIOpen and Composable Kernel, AMD's Deep Learning primitives libraries 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 Machine Learning and Deep Learning Library: MIOpen and Composable Kernel

• 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/HIP 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

• Basic 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, architectures and modern machine learning programming frameworks

• Experience working with and developing virtualization containers and package managers for code deployment


Languages:

English: C1 Advanced

  • Seniority level

    Not Applicable
  • Employment type

    Full-time
  • Job function

    Project Management
  • Industries

    IT Services and IT Consulting

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