Part-time student role | Motion planning, state estimation, and robotic algorithms 

About the Role: 

We are a fast-moving robotics startup looking for a sharp and hands-on Student Algorithm Engineer to join our algorithm team. You will help develop motion planning, trajectory generation, localization, state estimation, and control-related algorithms for real robotic systems operating in dynamic real-world environments. 

This is a great opportunity for a student who enjoys solving practical algorithmic problems, working with noisy sensor data, and turning planning and estimation ideas into robust robotic capabilities. 

Responsibilities: 

• Develop and test algorithms for motion planning, trajectory optimization, state estimation, localization, and robotic behavior. 
• Work with real-world sensor data to improve robot localization, tracking, prediction, path quality, and motion accuracy. 
• Run simulations and real-world experiments, analyze results, debug edge cases, and improve algorithm performance. 
• Work in multidisciplinary team 

Requirements: 

• M.Sc. or Ph.D. student in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a related field. 
• Strong Python skills; C++ is a strong advantage. 
• Solid understanding of algorithms, linear algebra, geometry, and numerical methods. 
• Experience in motion planning, state estimation, optimization, localization, or probabilistic methods. 
• Independent, curious, practical, and comfortable working with real-world data and imperfect conditions. 
• Availability for a part-time student position. 

Advantages: 

• Experience with NumPy, SciPy, and similar tools. 
• Experience with sensors, cameras, IMUs, LiDAR, 3D geometry, or SLAM. 
• Knowledge of trajectory generation, sampling-based planning, optimization-based planning, kinematics, dynamics, or control. 
• Exposure to reinforcement learning for robotics, planning, control, or decision-making is a plus. 
• Previous robotics, autonomous systems, planning, or estimation projects. 

Location:Jezrael Valley, Israel 

How to Apply: 

Please send your CV, academic transcript, and any relevant GitHub, project, or research materials. 

To 

[email protected]