Lead Mechatronics and Systems Engineer - Preclinical Research

United States Digital Space LLC; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

United States Digital Space LLC in London seeks an experienced researcher engineer to run the London capture site across lab and field settings. You will set up hardware, enforce capture protocols, and ensure sessions run reliably and reproducibly.

This hands-on role focuses on operational execution at scale, taking defined standards and making them work in real-world environments, with attention to documentation and data integrity.

Qualifications

• Experience with human motion capture (marker-based, markerless, or IMU-suit)
• Multi-camera calibration and time synchronization
• Strong hardware troubleshooting ability
• Comfortable with embedded systems
• Basic Python scripting
• Organized and systematic; disciplined about documentation and reproducibility

Responsibilities

• Implement and maintain streamlined, minimal capture protocols
• Prepare and run recording sessions
• Maintain clear SOPs and documentation
• Ensure sessions are reproducible and well logged
• Set up and maintain motion-capture and neurophysiological recording systems
• Coordinate procurement and supplier communication

Skills

Motion capture

Multi-camera calibration

Hardware troubleshooting

Embedded systems

Python scripting

Documentation

Tools

HDF5

EEG systems

Job description

Type: Fixed-term or Full-time

Location: London · On-site · May require occasional travel

The RoleWe are building integrated human and non-human motion-capture and neurophysiological recording systems for both controlled lab studies and naturalistic, in-the-wild data collection.

We are looking for an experienced researcher engineer that is hands-on to own the London capture site across both lab and field settings: set up and run the hardware, import and enforce best-practice capture protocols, and ensure every session executes reliably and reproducibly. This is an operational role: you'll take defined capture standards and make them run at scale, not design the science.

Responsibilities

Experimental Operations

Implement and maintain streamlined, minimal capture protocols

• Import and operationalize best-practice standards for human mocap
• Prepare and run recording sessions
• Maintain clear SOPs and documentation
• Ensure sessions are reproducible and well logged

Hardware & Systems

Set up and maintain motion-capture and neurophysiological recording systems

• Integrate all devices on a shared clock (video, kinematics, physiological streams)
• Troubleshoot signal, sync, and capture-quality issues
• Assemble and maintain multi-camera / multi-sensor rigs
• Manage equipment inventory, calibration, and camera setup

Infrastructure

Oversee lab layout and capture-space setup

• Maintain structured data storage, formats, and backups
• Coordinate procurement and supplier communication

Requirements

Core (essential)

• Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems)
• Multi-camera calibration and time synchronization
• Strong hardware troubleshooting ability
• Comfortable with embedded systems
• Basic Python scripting
• Organized and systematic; disciplined about documentation and reproducibility

Valued

• Hand / finger kinematics capture and video pipelines
• Structured data formats (e.g. HDF5) and reproducible data logging
• Experience with physiological recording systems (EEG or similar), or willingness to cross-train