Edge AI Drone Vision Engineer (Real-Time Object Detection)

Dremian; Netherlands; Remote; EUR 70,000 - 120,000; Full time

Job summary

Dremian is seeking a Computer Vision Expert to build the perception system for autonomous interceptor drones. You will focus on object detection, develop dataset pipelines, and evaluate multi-sensor setups including stereo vision and radar integration.

Deployment on edge hardware is a central goal. The role requires hands-on experience with neural networks (YOLO/DETR), Python, and PyTorch, with emphasis on real-time inference on embedded devices.

Qualifications

• Experience training and deploying object detection models.
• Strong background in neural network architectures (YOLO, DETR, etc.).
• Experience with dataset management, labeling, and augmentation.
• Proficiency in Python and PyTorch.
• Understanding of real-time inference on edge devices.

Responsibilities

• Curate, collect, and label training datasets; build a catalog of videos and images.
• Train and optimize neural networks for real-time detection on edge hardware.
• Evaluate stereo vision and multi-camera configurations for range estimation.
• Assess radar integration for longer-range multi-sensor fusion.
• Deploy detection models on embedded devices.
• Validate detection systems in real-world flight conditions.

Skills

Object detection models

Neural networks (YOLO, DETR)

Dataset management & labeling

Python

PyTorch

Edge-device inference

Education

PhD candidate in CV

Tools

TensorRT

ONNX

Job description

Dremian is seeking a Computer Vision Expert to build the perception system for autonomous interceptor drones. You will focus on object detection, develop dataset pipelines, and evaluate multi-sensor setups including stereo vision and radar integration.

Deployment on edge hardware is a central goal. The role requires hands-on experience with neural networks (YOLO/DETR), Python, and PyTorch, with emphasis on real-time inference on embedded devices.