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# Hardware Engineer

- **Company:** Trust In Soda Ltd
- **Location:** Cambridge, UK
- **Experience:** Experienced
- **Salary:** £98,800.0 - £104,000.0
- **Contract:** Temporary contract
- **Skills:** Sound Recording and Reproduction, C++ (Programming Language), Computer Programming, Python (Programming Language), MATLAB, Pytorch, Build Tools, Wearables
- **Published:** August 7, 2026
- **Apply:** https://www.trustinsoda.com/jobs/hardware-engineer-35129525#apply-job

## About the Role

* Master's degree in a relevant technical field + 3+ years' industry experience in audio technology development (or equivalent)
 * Proven experience designing and running audio/acoustic experiments in controlled lab settings
 * Strong, hands-on experience processing and analyzing audio signals

Also Required

 * 3+ years' programming experience in Python, MATLAB, or MaxMSP for audio applications
 * Solid working knowledge of acoustics and acoustic instrumentation

Nice to Have

Real-time C/C++ audio coding · psychoacoustics/spatial audio/room acoustics · PyTorch/ML experience · prototype hardware · motion tracking systems · large-scale automated data collection · acoustic lab design · cross-functional research experience · published technical reports

## Description

Join our newly opened audio lab - featuring anechoic chambers and one of the world's largest configurable acoustic rooms (reconfigurable from cathedral-like acoustics to a fully dampened space). This role is centred on data: planning and running acoustic measurements, setting up complex data collection rigs (microphones, speakers, wearables), and processing the results. The work leans more toward software engineering than one-off scripting, and you'll often be handed problems the team hasn't solved before, requiring genuine acoustics expertise to work through.

What You'll Do

 * Plan, design, and run acoustic measurements and data collection studies, including experiments with human participants and prototype hardware
 * Build systems, interfaces, and protocols for acoustic/behavioral data acquisition using Python, MATLAB, and MaxMSP
 * Apply strong coding practices to improve data collection tools and infrastructure
 * Work with the acoustic properties of our lab spaces to design experiments appropriately
 * Collaborate with multi-disciplinary researchers to integrate tools into broader platforms
 * Write clear technical reports on results and methodology


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