Computer Vision Expert

Position Overview

We're seeking a Computer Vision Expert to build the perception system for our autonomous interceptor drones. You'll focus on object detection (detection-first approach), build and manage dataset pipelines, and evaluate multi-sensor setups including stereo vision, multiple cameras, and radar integration. This role combines neural network expertise with practical deployment on edge hardware.

Key Responsibilities

• Develop object detection models for drone perception (detection-first approach)
• 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

Requirements & Qualifications

Essential:

• 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

Preferred:

• PhD (or candidate) in computer vision or related field
• Experience with stereo vision or multi-camera systems
• Knowledge of radar-camera fusion
• Experience with model optimization (TensorRT, ONNX, quantization)
• Background in drone or robotics perception

Technologies & Skills

Work Environment

• Tiny, agile startup: your ideas and work have direct impact
• Lots of freedom to explore and propose solutions
• Challenging, meaningful tasks at the frontier of AI and robotics
• If you solve the task, your solution will be deployed on real drones
• See your work make a real-world difference