AI Computer Vision Engineer

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)

Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)

Conduct model training, testing, benchmarking, and validation in real flight environments

Integrate AI models into onboard systems

Collaborate with other software and hardware teams to ensure robust end-to-end performance

Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

3+ years of experience in AI/ML, with a strong focus on computer vision

Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs

Proficiency in Python, C++, PyTorch or TensorFlow

Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)

Solid understanding of data annotation, augmentation, and training workflows

Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)

Experience working with aerial/surveillance imagery or geospatial data is a strong plus

Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

Nice to Have:

Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks

Familiarity with UAVs, drone flight control, or defense technologies

Understanding of object re-identification or multi-target tracking

Why Quantum-Systems:

We Stand with Ukraine

We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.

We are industry pioneers who are ambitious, bold, and visionary.

We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.

We promise to be your runway for individual and professional growth.