AI overview

Design and optimize visual perception systems for autonomous robotic beehives, contributing to sustainable agriculture and biodiversity preservation.

Reporting line: AI Team Leader

Scope: Full time

Location: Beit HaEmek

We are looking for a curious, hands-on, and lean-thinking Robotic Vision Engineer to join our R&D team. In this role, you’ll take ownership of designing and optimizing the visual perception systems that power our autonomous robotic beehives.
You’ll bring an ownership mindset, a can-do attitude, and a passion for learning — combining curiosity, creativity, and technical excellence to build real-world solutions that make an impact.

🌍 At Beewise, we’re on a mission to save the world — one bee at a time.
We combine robotics, AI, and environmental science to protect pollinators and preserve biodiversity.
Our team of engineers and innovators is shaping the future of sustainable agriculture — using technology for good.

If you’re passionate about computer vision, robotics, and AI, and want to make a tangible impact on the planet, we’d love to have you on board.

What You’ll Do?

Translating raw visual data in a Multiview setup into precise 3D positioning for robotic movements
Fusion of vision data with other types of sensors
Using/Developing both deep learning models and classic algorithmic techniques
Testing your solutions in real-world systems and refining for accuracy and robustness

Requirements:

M.Sc. (or higher) in Electrical Engineering, Computer Science, Autonomous Systems and Robotics Interdisciplinary Program
At least 3 years of experience in 3D perception using cameras, e.g. visual servoing, 3D reconstruction and stereo vision.
Strong proficiency in classical computer vision techniques (e.g., feature detection & matching, geometric transformations)

Advantages:

Experience with designing and implementing control loops
Experience with simulation tools (Issac sim / Gazebo)
Experience applying deep learning models to vision or perception data