C++ Quantization Engineer - Edge AI

Job Summary

We are looking for a C++ Quantization Engineer specializing in Edge AI to optimize machine learning models for deployment on resource-constrained devices. The role involves implementing quantization techniques, enhancing inference performance, and collaborating with AI and embedded system teams.

Key Responsibilities

• Develop and optimize C++ solutions for AI model deployment.
• Implement model quantization techniques (INT8, FP16, mixed precision).
• Improve inference speed, memory utilization, and power efficiency.
• Work with TensorFlow Lite, ONNX Runtime, TensorRT, or similar frameworks.
• Profile and debug Edge AI applications.
• Collaborate with data scientists, AI researchers, and firmware teams.
• Validate model accuracy after quantization and optimization.
• Develop deployment pipelines for embedded and edge devices.

Required Skills

• Strong programming skills in C++.
• Experience in AI/ML model optimization and quantization.
• Knowledge of deep learning frameworks and deployment tools.
• Understanding of embedded systems and hardware acceleration.
• Experience with ARM, DSP, NPU, GPU, or edge computing platforms.