DEEP LEARNING SOFTWARE ENGINEER - AI MODELS

Gdańsk, pomorskie
Stała
Pełny etat

8 dni temu

Project descriptionWe push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies - building blocks for gaming, Immersive platforms, and the data center. Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the "extra mile" to achieve unthinkable results. It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world. If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.Responsibilities

Design and implement highly optimized ML algorithms for games and multimedia, to run on AMD GPU and NPU
ML model training, inference, quantization and performance profiling and deployment
Collaborate with ML researchers and framework developers to integrate ML algorithms into SDKs
ML algorithm productization
Stay updated on the latest AI/ML trends and apply them to ML algorithm development
Document and communicate technical designs, benchmarks, and best practices
Troubleshoot and resolve issues related to training issues, GPU compatibility, performance, and scalability

SKILLSMust have

Experience in ML algorithm development
Proficiency in C/C++ and Python, with experience in performance-critical programming
Strong understanding of ML frameworks (PyTorch, TensorFlow, ONNX runtime) and GPU-accelerated libraries
Basic knowledge of modern AI technologies (transformers, quantization, inference optimization)
Familiarity with parallel computing, memory optimization, and GPU hardware architecture
Problem-solving skills and ability to work in a fast-paced environment
Experience with shader coding and optimization
Experience with Computer Vision models/algorithms, such as SuperRes, Denoise, Frame interpolation
Contributions to open-source ML projects or GPU compute libraries

Nice to have

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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