Cyberbee is a dynamic startup headquartered in Rosh HaAyin, specializing in low-compute, easy-to-deploy, GNSS-free, SLAM-based navigation systems. Our technology facilitates precise mapping and localization in GPS-denied environments, thereby enabling real-world indoor and outdoor navigation applications.

Algorithm & Computer Vision Engineer

We are seeking an Algorithm and Computer Vision Engineer to lead the development of real-time localization algorithms. You will drive feature innovation informed by project needs and the latest research, contribute to system architecture and optimization, and ensure robust, production-ready performance. As an integral member of the team, you will participate in discussions, planning, and collaborative development efforts.

This is a full-time, on-site position focused on delivering high-quality, real-time systems.

What You'll Be Doing (Day-to-Day):

Research & Development

• Stay current with the latest methodologies in computer vision, SLAM, VO, and VIO.
• Evaluate academic literature and emerging technologies for integration into production systems.
• Implement and optimize C++ algorithms for real-time localization.
• Integrate and manage vision and inertial sensor pipelines to achieve accurate pose estimation.

Refactor & Optimize

• Enhance existing codebases for clarity, scalability, and maintainability.
• Tune system performance on embedded/ARM platforms, focusing on threading, memory, and latency.

Analyze & Test

• Deploy algorithms to hardware, profile system performance, and debug in real-world scenarios.
• Validate algorithmic accuracy and robustness under varied operating conditions.

Review & Collaborate

• Participate in code reviews, design discussions, and paired programming.
• Contribute to technical planning and mentor peers in algorithmic development best practices.

What Are We Looking For:

• Bachelor’s in Computer Science, Software Engineering, or related field
• M.Sc. is a plus

Skills & Experience

• Real-Time Localization: 2+ years of hands-on experience with real-time localization (Mandatory) technologies such as visual-inertial odometry, visual odometry, or SLAM.
• C++ and Python Expertise: 4-10 years of experience developing performance-critical systems using modern C++ standards and Python.
• Computer Vision Fundamentals: Solid understanding of computer vision principles, including feature detection, matching, and mapping (deep expertise in bundle adjustment or graph optimization - bonus).
• DevOps Tools: Proven experience with Docker for containerization and CI/CD pipeline implementation - bonus.

Bonus Points if You Have

• Demonstrated familiarity with Kalman filters or graph-based estimation (bundle adjustment is an advantage).
• Experienced in utilizing the ROS2 framework for drone and/or robotics applications.
• Proficient in embedded or ARM platform development for real-time systems.
• Experience with IMUs and image sensors, especially under the ROS framework

• Exceptional problem-solving and analytical skills.
• Excellent communication and collaboration within small, agile teams.
• Enthusiastic and dedicated to mentoring and developing peers.
• Proactive, adaptable, and thrives in a fast-paced startup environment.

• Develop and implement production-ready localization systems for GNSS-denied environments.
• Engage daily with real-world data and hardware, and work closely with the edge application
• Participate in an agile, mission-focused team with accelerated deployment cycles.
• Located in Rosh HaAyin, close to the train station

Visit us at cyberbee.ai