Robotics Engineer - Learning for Manipulation

Bota Systems; Zürich; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Ownership of core product

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

Small, technical team in Zurich

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

ML for robotics

Python

C++

ROS 2

Cross-disciplinary comms

Ausbildung

BSc in Robotics/CS/EE

Tools

ROS 2

Hardware experience

Jobbeschreibung

At Bota Systems, we build force/torque sensors and the tools that let robots learn from touch. We’re now building a platform for training robot AI that combines vision and force sensing, and we’re looking for an engineer to help robots learn contact-rich manipulation from real-world data.

Position: Robotics Engineer - Learning for Manipulation
Location: Zurich, Switzerland
Start Date: As soon as possible

What you’ll do

• Train, fine-tune, and deploy learning-based manipulation policies (imitation learning, diffusion policies, VLAs) that use both vision and force/torque as inputs
• Build and run data-collection pipelines on real hardware, including kinesthetic teaching, teleoperation, synchronized multi-modal recording, and dataset curation
• Integrate force-aware, physics-consistent simulation for training and evaluation
• Design the software architecture that connects sensors, robots, and learning stack, with a focus on reliability and scalability
• Work directly with our hardware and embedded engineers to bring models from experiment to working robot

What you bring

• A degree in Robotics, Computer Science, Electrical Engineering, or a related field, ideally 1–3 years of relevant experience (industry, research, or a substantial thesis)
• Hands‑on experience in training and fine‑tuning ML models, ideally for robotics
• Strong Python skills and working knowledge of C++
• Experience with ROS 2 and with real robot hardware
• Clear communication and enjoyment of working across disciplines

Nice to have:

• Experience with robot learning frameworks (e.g. LeRobot), policy architectures such as ACT, diffusion policy, or VLAs, or multi‑modal/tactile learning
• Simulation experience (MuJoCo, Isaac Sim/Lab, or similar)
• Experience with force control, impedance control, or contact‑rich tasks

What we offer

• Real ownership of a core part of our product, with direct impact on what we ship
• Daily access to state‑of‑the‑art sensors, robots, and teleoperation setups
• A small, highly technical team in Zurich

Benefits

• Opportunity to work on exciting projects at the forefront of robotics.
• Mentorship from experienced professionals in the field.
• Hands‑on experience with robotic systems and technologies.