Robotics Engineer: Learning-Driven Manipulation

Roboticsconnected; Zürich; In loco; CHF 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Ownership of core product

Access to state-of-the-art sensors & a

Small, technical team in Zurich

Descrizione del lavoro

Bota Systems in Zurich, Switzerland is seeking a Robotics Engineer to advance learning-based manipulation using vision and force sensing. You will join a small, highly technical team and work with real robots and sensors to turn research ideas into production-ready capabilities.

You will train models, build and run data-collection pipelines, integrate physics-aware simulation for training, and design software that connects sensors, robots, and learning components.

Competenze

• Degree in Robotics/CS/EE or related field.
• Huns-on experience in training ML models for robotics.
• Strong Python and working knowledge of C++.
• Experience with ROS 2 and real robot hardware.
• Clear communication across disciplines.

Mansioni

• Train, fine-tune, and deploy learning-based manipulation policies using vision and force/torque inputs.
• Build data-collection pipelines on real hardware including kinesthetic teaching and teleoperation.
• Integrate force-aware simulation for training and evaluation.
• Design software architecture connecting sensors, robots, and learning stack for reliability and scalability.
• Collaborate with hardware and embedded engineers to bring models from experiment to working robot.

Conoscenze

ML for robotics

Python

C++

ROS 2

Cross-disciplinary comms

Formazione

BSc in Robotics/CS/EE

Strumenti

ROS 2

Hardware experience

Descrizione del lavoro

Bota Systems in Zurich, Switzerland is seeking a Robotics Engineer to advance learning-based manipulation using vision and force sensing. You will join a small, highly technical team and work with real robots and sensors to turn research ideas into production-ready capabilities.

You will train models, build and run data-collection pipelines, integrate physics-aware simulation for training, and design software that connects sensors, robots, and learning components.