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
- Solid 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.

📌 C++ Quantization Engineer (Hyderabad)
🏢 Kinara.ai
📍 Hyderabad