Embedded AI

Exp: 8+ Yrs

• Experience in embedded software development with a strong 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).