SW & Algorithms Team Lead

Company Description

Cyberbee is a dynamic startup headquartered in Rosh HaAyin, specializing in low-resource, easy-to-deploy, GNSS-free, SLAM/VIO-based navigation systems.

Our technology enables precise, real-time localization and mapping in GNSS-denied environments for indoor and outdoor drones and robotics applications.

Role Description

We are seeking an SW & Algorithm Team Lead to lead the development of our next-generation navigation technology.

In this role, you will lead our SW development efforts, sync and mentor developers, and ensure our Navigation pipelines are robust, optimized, and production-ready. You will design and implement SOTA algorithms and methods, and collaborate closely with our robotics, system, and DevOps teams. This is a full-time, on-site leadership role focused on delivering high-quality real-time systems.

Research & Development

• Design and prototype advanced algorithms for real-time localization and perception.
• Implement and optimize C++ algorithms tailored to embedded and ARM environments.
• Integrate multi-sensor pipelines (e.g., vision, IMU, depth) for accurate pose estimation.
• Stay current with the latest methodologies in computer vision, SLAM, VIO, and ROS2. Evaluate academic literature and emerging technologies in our production systems.
• Improve, refactor, and scale existing codebases for clarity, robustness, and maintainability.

Team Leadership & Management

• Lead, mentor, and grow a small team of algorithm/CV engineers and SW developers.
• Lead the design, implementation, and testing of top-notch algorithms and C++ code.
• Maintain high engineering standards through technical guidance and code reviews.
• Coordinate development workflows, task allocation, and cross-team collaboration.
• Drive hiring efforts, interview candidates, and build a world-class algorithm team.

Review & Collaborate

• Collaborate closely with robotics, embedded, and product teams.
• Participate in design reviews and architecture discussions.
• Mentor peers and engineers in best practices for algorithmic development and design.

Qualifications

Skills & Experience

• Computer Vision Fundamentals: Strong knowledge of features, tracking, stereo/mono geometry, mapping, and N-view geometry. Deep expertise in bundle adjustment or graph optimization is a strong advantage.
• Software Engineering: Experience building production-level systems, profiling performance, and optimizing at both algorithmic and low-level layers.
• C++ & Python Expertise: 4-6 years building low-performance systems using modern C++ (14/17/20) and Python.
• Real-Time Localization (Mandatory): 4+ years of hands-on experience with VIO, VO, or SLAM.
• Leadership: 2+ years of experience leading a small team (formal or informal), mentoring engineers, defining priorities, and owning deliverables.
• DevOps /CI/CD: Experience with Docker and automated testing pipelines is a plus.

Bonus Points

• Experience with Kalman filtering, MSCKF, or graph-based optimization.
• ROS2 experience in robotics, drones, or autonomous systems.
• Embedded/ARM development for real-time performance.
• Familiarity with IMUs, camera calibration, and multi-sensor fusion.

Education

• Bachelor’s in Computer Science, Software Engineering, Electrical Engineering, or related field. (M.Sc. preferred.)