Research Engineer Manipulation Data and Teleoperation
Sereact is a Stuttgart-based physical-AI robotics company whose Cortex software enables autonomous warehouse and manufacturing operations across robot platforms.
Funding history
About Sereact
Sereact GmbH develops embodied-AI software for industrial robotics. Its Cortex system provides vision-language-action intelligence for tasks including robotic picking, returns handling, sorting, and warehouse inspection; the company also offers products such as Sereact Lens and its operational data platform.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate teleoperation systems for dexterous manipulation, including retargeting algorithms that map human hand and arm movements to robot end-effectors. You will design scalable data-collection hardware and software, benchmark control approaches, support physical robots, and collaborate on data quality needs.
Requirements
- MSc or equivalent in progress in robotics, mechanical engineering, or a closely related field
- Thesis or capstone project on manipulation, teleoperation, or retargeting
- Hands-on experience building a robot-learning data-collection device or system
- Working knowledge of retargeting algorithms for robot hands or end-effectors
- 1 to 2 years of combined research, internship, or industry experience in robotics, mechatronics, or a related engineering discipline
- Software and systems engineering skills to build and maintain shared infrastructure
Responsibilities
- Build and operate teleoperation systems for dexterous manipulation
- Develop retargeting algorithms that map human motion to robot end-effectors
- Design and maintain scalable data-collection hardware and software
- Benchmark control and retargeting approaches using rigorous human-factors-informed methodology
- Instrument and support physical robots and the control stack
- Collaborate with the model-training team to define data needs and improve data quality
- Build tooling and infrastructure that unblocks the wider team
Benefits
- Free meals at the workplace
- Flexible working hours
- Option to work from home when needed
- Access to large-scale compute clusters and proprietary robotic datasets
- Relocation package for the Zurich area