AI GPU Senior Software Engineer,

Project Description

Are you enjoying Machine Learning? Do you believe you can challenge state-of-the-art of AI technology applications? See the below call!

Luxoft, in partnership with AMD, is searching for talented experienced and also junior developers with AI and machine learning on the GPU experience with hands-on in GPU performance profiling to join the rapidly growing team in Gdansk. As a ML GPU engineer, you will participate in creation of real-time AI application supporting GPU compute, 3D graphics and video pipelines, build a solid background in Machine Learning with the most recent, state-of-the-art GPU and AI architectures, and collaborate with industry leaders.


    • Develop tensor flow AI DL models, then port then to the GPU to DirectML or similar API and optimize for performance
    • Train ML models and assess the AI network accuracy in problem solving
    • Build GPU processing or rendering pipelines supported by the AI inferencing on the state-of-the-art hardware
    • Perform GPU profiling with tools for state-of-the-art hardware, investigate and fix performance & functional defects
    • Work with the recent research papers and publications, and propose state-of-the-art advances in the research area
    • Work with a distributed team in a CI environment
    • Share expert knowledge through trainings and internal documentation


Must have

    • Experience in design and development of C/C++ applications
    • Experience in Machine Learning using Python & one of Tensor Flow, Keras or PyTorch
    • CPU/GPU architecture knowledge, extensive experience with one of the 3D rendering APIs
    • Generic data processing, data structures and 3D algorithms
    • System/Linux programming, resource management
    • Basic knowledge of video encoding algorithms and state-of-the-art solutions
    • Good understanding of multi-threaded programming techniques and SIMD architecture

Nice to have

    • Experience in HW/SW performance analysis and optimization, best if including GPU performance profiling
    • GPU shader coding experience
    • Computer Vision or Text-to-speech experience and background is helpful
    • Experience/ know how of game engine solutions like Unreal Engine 4 or Unigine
    • Experience with ML APIs like Caffe, DirectML, ONNX, good understanding of Deep Learning process
    • Experience with GPU profiling tools, Linux performance tuning and VTune
    • Demonstrated ability to investigate software defects with debuggers like gdb
    • Experience working with GPU 3D or compute environments, like for example OpenGL, OpenCL, Vulcan, DirectX
    • Experience working with large volume high throughput data applications
    • Experience with GPU and CPU performance optimizations and debugging
    • Solid 3D math skills (linear algebra, vector math)
    • Understanding of video encoding technologies, H264, H265, AV1 is a huge plus


English: C1 Advanced



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