.png){kind=logo}
Regulus is an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
If you're looking for a role that combines deep technology, ownership, and real-world impact - this is your opportunity.
You'll work on 0→1 development of next-generation computer vision capabilities, addressing operational challenges for which no proven solutions currently exist.
Key Responsibilities:
- Drive end-to-end computer vision solutions from concept and research through deployment and operational validation
- Develop detection, classification, and tracking algorithms
- Improve performance on small and distant aerial targets
- Build and maintain training datasets and evaluation tools
- Optimize models for real-time operational performance
- Collaborate with software, hardware, and systems engineering teams
- Strong background (5+ years experience) in computer vision and deep learning
- Proven ability to independently design, develop, and deliver computer vision solutions from scratch
- Hands-on experience with detection and tracking models (YOLO, Faster R-CNN, DETR, DeepSORT, ByteTrack, or similar)
- Experience processing real-time video from EO/IR, thermal, or surveillance cameras
- Proficiency in Python with PyTorch or TensorFlow
- Experience across the full ML pipeline: data collection, annotation, training, and evaluation
- Ability to optimize models for real-time inference on edge devices (NVIDIA Jetson, GPU servers, embedded platforms)
- Familiarity with small-object and long-range detection, image enhancement, and low-SNR conditions
- Working knowledge of OpenCV, GStreamer, RTSP streams, and Linux
Advantages:
- Significant advantage for experience with airborne platforms, UAVs, UAS, loitering munitions, missile systems, aerial target tracking, or other airborne defense applications
- Experience in drone detection, defense systems, radar/EO sensor fusion, or autonomous systems
- C++ and production deployment experience
Skills Required
- 5+ years experience in computer vision and deep learning
- Hands-on experience with detection and tracking models (YOLO, Faster R-CNN, DETR, DeepSORT, ByteTrack, or similar)
- Experience processing real-time video from EO/IR, thermal, or surveillance cameras
- Proficiency in Python with PyTorch or TensorFlow
- Experience across the full ML pipeline: data collection, annotation, training, and evaluation
- Ability to optimize models for real-time inference on edge devices (NVIDIA Jetson, GPU servers, embedded platforms)
- Familiarity with small-object and long-range detection, image enhancement, and low-SNR conditions
- Working knowledge of OpenCV, GStreamer, RTSP streams, and Linux
- Experience in drone detection, defense systems, radar/EO sensor fusion, or autonomous systems
- C++ and production deployment experience
What We Do
Regulus closes the critical gap between long-range strategic systems and the last few hundred meters of point defense, providing the autonomous last line of defense against drones and other uncrewed threats. Regulus C-UxS solutions redefine modern defense against uncrewed threats with AI-powered, decentralized mesh and point-defense systems and networks. Our soft-kill EW Ring family and the DART hard-kill interceptor can each be deployed as independent products; powered by LeC2 and Orchestra - our autonomous mesh command-and-control network - they seamlessly connect to create Ring Origami, an integrated close-in defense layer that detects, coordinates, and neutralizes current and future close-range threats in real time - with no person on the loop. While most defense startups focus on tactical-range interception (2–5 km) - an approach whose effectiveness is rapidly eroding as threats harden, communications improve, and autonomy and maneuverability increase - Regulus is building the resilient, close-range shield modern forces need around them. Strategic systems such as lasers, missiles, and other long-range interceptors remain essential for extended-range defense, a domain dominated by primes due to its complexity, cost, and long development cycles; Regulus complements these systems by securing the final meters. Built on unmatched combat experience and hundreds of combat-proven systems, Regulus is creating a scalable, multi-domain C-UxS architecture designed to outpace emerging threats. As defense and homeland security markets accelerate their demand for next-generation autonomy, Regulus is positioned to become a new-era defense leader - driving the counter-uncrewed revolution and defining the future of intelligent defense infrastructure.
