Were 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.
Requirements: 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).
This position is open to all candidates.