Research Engineer, Manipulation Data & Teleoperation — Zurich

This role owns the data generation layer of Sereact's VLA stack: teleoperation systems and data collection infrastructure that feed Cortex, built from our Zurich research hub.

About Sereact

Sereact is a Series B embodied-AI company. Cortex, our VLA model, is deployed in live warehouse robotic cells across the EU and US. Zurich is our newest research hub, focused on the manipulation and control problems that sit underneath Cortex.

The role

This is a Research Engineer position. It is scoped to the data generation layer of the VLA stack: teleoperation hardware and software, retargeting pipelines that map human demonstrations onto robot hands, and the data collection infrastructure that feeds Cortex. It requires building the systems that produce the data those models train on, and working closely with the training team on what that data needs to look like.

What you'll do

• Build and operate teleoperation systems for dexterous manipulation, including retargeting algorithms that map human hand and arm motion onto robot end-effectors

• Design and maintain scalable, UMI-style data collection hardware and software that other engineers at Sereact rely on

• Benchmark control and retargeting approaches using rigorous, human-factors-informed methodology

• Instrument and support the physical robots deployed in the Zurich hub, including day-to-day work on the control stack

• Work with the model-training team to define what data they need and close the loop on data quality

• Build tooling or infrastructure outside your immediate brief when it unblocks the wider team

What you'll bring

• MSc (or equivalent, in progress) in robotics, mechanical engineering, or a closely related field, with a thesis or capstone project on manipulation, teleoperation, or retargeting

• Hands-on experience building a data collection device or system for robot learning (UMI or a comparable system), not just operating one someone else built

• Working knowledge of retargeting algorithms for mapping human input onto 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 strong enough to build and maintain infrastructure