Sr to Principal Machine Learning Engineer, Framework & Performance

Strong object-oriented design principles

Strong knowledge of C++

Strong knowledge of Python

Experience in compiler, CPU, DSP and/or GPU design and development is an asset

Knowledge of network model formats/platforms (eg. PyTorch, ONNX) is a strong asset

Knowledge of software development processes (revision control, CD/CI, etc.)

Familiarity with tools such as git, Jenkins, Docker, clang/MSVC

On-silicon debug skills of high-performance compute algorithms

Knowledge of algorithms and data structures

Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators

Minimum Qualifications:

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