AI Engineer

Position Overview

We are seeking a highly skilled Embedded Edge AI / Computer Vision Engineer to design,

develop, and deploy real-time AI inference solutions on embedded processors and

heterogeneous platforms, including ARM SoCs, MCUs, and FPGA-based systems.

Key Responsibilities

- Design and deploy real-time computer vision and AI inference pipelines on embedded

ARM and FPGA-based platforms.

- Implement inference engines using C++ (primary) and Python.

- Optimize AI models for latency, memory, and power constraints.

- Convert and deploy models using ONNX, TensorFlow SavedModel, and TensorFlow Lite.

- Integrate streaming and device communication using MQTT, TCP, and UDP.

- Develop deployment workflows using Docker and embedded CI pipelines.

Required Skills

- Strong C++ for embedded systems

- Python for AI pipelines and tooling

- ARM-based embedded Linux experience

- FPGA integration knowledge

- OpenCV, ONNX Runtime, TensorFlow/TFLite

Nice to Have

- RTOS experience

- Camera pipelines and sensor fusion

- Edge security and OTA updates

What We Offer

- Work on real-world Edge AI systems

- Exposure to ARM and FPGA platforms

- Growth into technical leadership roles