Job Responsibilities

Data Acquisition & Backend Infrastructure (PostgreSQL & FastAPI)

• Design and implement a high-concurrency PostgreSQL database schema optimized for time-series data and rapid ingestion from multiple hardware sensors.

• Develop high-performance, asynchronous RESTful APIs using FastAPI to enable low-latency communication between control hardware and the data ecosystem.

• Create reliable drivers/interfaces to connect control hardware (sensors, PLCs, actuators) with the FastAPI backend, ensuring data integrity during high-frequency acquisition.

Computer Vision Software Optimization (Python & C++ Integration)

• Design and refine a hybrid AI computer vision system that leverages C++ for performance-critical components (image processing, low-level memory management) and Python for high-level logic and model flexibility.

• Implement Python bindings for C++ libraries (using pybind11, Cython, or similar tools) to allow the AI pipeline to process real-time video streams with minimal overhead.

• Optimize OpenCV-based and deep learning pipelines (PyTorch or TensorFlow) to minimize latency and maximize throughput on edge devices or server-side hardware.

Job Requirements

• Fresh Graduates Welcome

• Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field

• Strong proficiency inPython and C++

• Solid experience with AI/deep learning frameworks (PyTorch and/or TensorFlow)

• Practical experience withOpenCV in object detection, segmentation, and/or tracking tasks

• Preferred: Experience withDocker and Linux environments for containerizing high-performance backend and AI workloads

• Good team player with strong self-motivation and problem-solving skills

• Knowledge of PostgreSQL optimization, familiarity with hardware communication protocols (e.g., Modbus, CAN, SPI, MQTT), experience with data acquisition (DAQ) hardware will be the advantageous