Signal Processing

7 days ago

London, Greater London, United Kingdom Trem Full time

Contract | Remote | UK-based only | 2–3 days (initial)

We're developing technology for tremor measurement and monitoring, building our own wearable while also integrating with existing sensor platforms.

We're looking for a signal-processing and firmware specialist to help shape our prototype and refine real-time tremor-detection algorithms.

What you'll do

  • Design and optimise real-time processing pipelines for accelerometer/IMU data.
  • Implement and tune filtering, noise reduction, and feature-extraction algorithms.
  • Support firmware integration and advise on sampling, buffering, and architecture.
  • Validate detection algorithms using clinical or real-world datasets.
  • Document methods and transfer knowledge to the internal team.

Minimum qualifications

  • Strong background in digital signal processing and embedded systems.
  • Hands-on experience with accelerometer or IMU data.
  • Proficiency in Python, MATLAB, or C/C++ for real-time algorithm development.
  • Ability to work independently and deliver results quickly in an R&D environment.

Nice to have's

  • Experience with wearable SDKs or low-power embedded platforms (e.g. ARM Cortex-M).
  • Experience developing Apple Watch applications
  • Familiarity with medical-device workflows (accuracy, data privacy).
  • Exposure to edge computing or on-device ML.
  • Background in tremor or movement-disorder analysis.

Deliverables (initial engagement)

  • Working signal-processing pipeline (code + notes).
  • Firmware architecture recommendations.
  • Initial tremor-detection algorithm refinements with metrics.

About us

We're an early-stage healthtech startup built from our founder's lived experience with essential tremor. We're a mighty team of three - product, marketing and engineering. Our approach bridges in-house hardware development and integration with various existing wearables, building the technical foundation for clinical validation and large-scale data analysis.

How to apply

  • Send a brief note, portfolio links, and day rate to
     with the subject line 
    "Engineer Job Post - Your Name"
    .

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