Lead Mechatronics and Systems Engineer – Preclinical Research

Company: United States Digital Space LLC
Apply for the Lead Mechatronics and Systems Engineer – Preclinical Research
Location: London
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

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Posted: October 5th, 2026