Student Algorithm Engineer – Robotics
Posted 9 days ago · 0 applicants
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The role in plain words
- M.Sc. or Ph.D. student in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a related field
- Strong Python skills
- Solid understanding of algorithms, linear algebra, geometry, and numerical methods
- Experience in motion planning, state estimation, optimization, localization, or probabilistic methods
- Availability for a part-time student position
- 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
- Previous robotics, autonomous systems, planning, or estimation projects
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Who this suits
Full job description
Original listing · kept for referencePart-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
Office@picker-ag.com
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- M.Sc. or Ph.D. student in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Applied Mathematics, or a related field, Strong Python skills, Solid understanding of algorithms, linear algebra, geometry, and numerical methods, Experience in motion planning, state estimation, optimization, localization, or probabilistic methods, Availability for a part-time student position