We’re looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.

Key Responsibilities

• Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
• End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
• Edge Optimization: Port and optimize models for Edge Deployment.
• Data Reliability: Build tools for automated data collection in changing environments.
• Skills: Problem Solver, Team Player.

Qualifications

• Experience: 4+ years of professional experience in Computer Vision and algorithms development.
• Computer Vision Fundamentals: Deep mastery of Classic CV (image filtering, feature extraction, geometry) alongside modern Deep Learning.
• Model Specialization: Proven track record in Object Detection, Image Classification, and Object Tracking in dynamic environments.
• Software Toolkit: Expert-level proficiency in Python, PyTorch, and OpenCV. with a strong understanding of Linux/ARM architectures

Preferred Qualifications

• Programming: Proficiency in C / C++ for performance-critical modules.
• Environment: Strong command of Linux, Docker, and Arm-based systems.
• Audio Signal Processing: Implement ML pipelines for audio feature extraction and classification.
• Streaming: Knowledge of Video Streaming protocols and low-latency video processing (RTSP, GStreamer).