{"@context":"https://schema.org","@type":"JobPosting","title":"Embedded AI Developer","description":"

Experience: in embedded software development with a strong focus on AI/Machine Learning deployment.

• Strong Experience with C/C++ for embedded development.

• Programming Skills: Proficient in Python for AI development and scripting.

• Deep Learning Frameworks: Hands-on experience with deep learning frameworks such as PyTorch. Experience with TensorFlow/Keras is a plus.

• Embedded Systems: Strong understanding of embedded system architectures, microcontrollers, DSPs, and/or FPGAs.

• Optimization Techniques: Proven experience with deep learning model optimization techniques (quantization, pruning, knowledge distillation).

• Number Formats: Familiarity with different number formats (e.g., FP32, FP16, INT8) and their implications for embedded inference.

• Conversion Tools: Experience with model conversion tools (e.g., ONNX, OpenVINO, TensorRT, TVM).

• Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to debug and optimize complex systems.

• Familiarity with hardware acceleration (e.g., NPUs, GPUs on edge devices).

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