AI GPU Senior Software Architect
Luxoft
Gdansk, PL
5 d. temu

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 outstanding, talented, experienced software architects and 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.

Responsibilities

Develop pytorch or 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

Senior level experience in design and development of C / C++ applications

Extensive 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

Languages

English : C1 Advanced

Regular

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