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).
