Software Engineer - Machine Learning

Contribute to eIQ Core software including popular open-source Machine Learning inference/compiler frameworks such as TensorFlow, PyTorch, ONNX, Arm NN, Glow, TVM, and NXP's proprietary SW

Contribute to eIQ Toolkit – a desktop-based environment for training, optimization, validation, profiling, and other tasks used in machine learning model development

Contribute to eIQ Model Zoo by developing ML models deployable on MCUs and MPUs

Develop a vision-based system with camera calibration using neural networks

Investigate the latest research papers, and technologies and implement proof-of-concepts based on the findings

Cooperate on HW/SW co-design of state-of-the-art machine learning accelerators

A well-established team working together for 4+ years responsible for a complete SW portfolio of machine learning products.

Responsible for enablement, design, and development of SW products across PC and embedded platforms using a variety of technologies.

Contributing to research, innovation, and open-source software.

Distributed across multiple countries – US (Austin, TX), Romania, China, Czech Republic, and cooperating with other international teams. Communication in English.

The Czech team currently has 13 team members ranging from juniors/interns to very senior developers.

More information about NXP in Czech Republic...