- 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: 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.

- Experience with C/C++ for embedded development.

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

📌 Embedded AI (Chennai)
🏢 Valeo
📍 Chennai