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Jack & Jill

Embedded Engineer at Phanes Neurotechnology

London
Posted about 20 hours ago
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Job Title

Embedded Engineer

Salary

Not Disclosed

Company Description

Phanes Neurotechnology is a neurotechnology startup building Sentinel, a dry-electrode EEG platform designed for continuous, multi-day cognitive monitoring. At Phanes Neurotechnology, duration is the primary competitive advantage, meaning firmware is treated as the core product rather than just a support layer, requiring extreme precision in both power management and signal acquisition.

Job Description

As the first Embedded Engineer at Phanes Neurotechnology, you will architect the firmware for the Sentinel EEG platform. You'll bring up mixed-signal boards from scratch, characterize eight-channel front ends, and deploy power-efficient inference on constrained hardware. This is a greenfield opportunity to define the architecture for a device where duration and signal integrity are the primary competitive advantages.

Location

Remote

Why this role is remarkable

  • True Greenfield Opportunity: You are joining at the absolute beginning where no hardware yet exists, giving you total agency over the firmware architecture and silicon selection for the first alpha prototype.
  • Product-Defining Firmware: At Phanes Neurotechnology, firmware is the product. Your work on power optimization and microvolt-level signal acquisition directly enables the company's multi-day duration and core competitive market position.
  • Rigorous Engineering Culture: Join a team that prizes empirical measurement over datasheet assumptions and integrates design control directly into the development flow, ensuring high-quality results for future medical-grade submissions.

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What You Will Do

  • Bring up mixed-signal boards from datasheet to working signal, performing honest characterization of the eight-channel biopotential front end and identifying sources of millivolt-level noise.
  • Develop a real-time operating system where timing is a strict requirement, ensuring the acquisition chain maintains perfect synchronization for high-fidelity EEG recording.
  • Deploy and account for machine learning inference on constrained accelerators, implementing safe degradation protocols including watchdogs and self-tests to prevent any silent failures.

The ideal candidate

  • Proven experience bringing up complex mixed-signal hardware and a deep understanding of biopotential front ends or similar precision electronics where noise floor management is critical.
  • Strong background in RTOS development and low-power firmware design, with the ability to manage multi-day battery constraints and implement secure boot and signed updates.
  • Disciplined approach to engineering documentation, including comfort with tracing requirements to tests and maintaining a design history file alongside active development work.

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And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

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Skills

Firmware Architecture
Mixed-Signal Board Bring-up
RTOS Development
Low-Power Design
Biopotential Front Ends
Signal Acquisition
Machine Learning Inference
Power Management
Noise Floor Management
Secure Boot
Signed Updates
Engineering Documentation

Location

London, England, United Kingdom

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