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

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: Solid 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 robust ability to debug and optimize complex systems.

Experience with C/C++ for embedded development. Familiarity with hardware acceleration (e.g., NPUs, GPUs on edge devices).

📌 Embedded Ai Chennai (India)
🏢 Valeo
📍 India