Noïa Labs

Electrical Engineer at Noïa Labs (Paris, France)

Noïa Labs· Paris, France·

Role details

Work type
Hybrid
Employment
Full-Time

Job description

PARIS, HYBRID

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces.

We are working on one of the most ambitious problems in human-AI interaction: creating a more natural way for people to control, guide, and collaborate with AI systems by relying directly on brain activity. Our approach combines optimized non-invasive neural sensors with large-scale AI models trained across many users to decode human intent from brain signals, without surgery. Noïa Labs was founded by the team behind NextMind (acquired by Snap) and is backed by tier-1 investors.

We are at the beginning of the journey and are building a team of outstanding engineers and scientists where each person can have a major impact on the product and technology.

ROLE SUMMARY

We are seeking a talented Senior Electrical Engineer to design and develop the electronics of our non-invasive neural interface. You will work on a compact wearable system that must acquire high-quality neural signals while operating under tight constraints on size, power, comfort, reliability, and manufacturability. This is a hands-on role for someone who enjoys creating innovative, high-quality products while iterating quickly in a fast-moving startup environment. The role spans electronics architecture, schematic design, PCB development, sensor integration, prototyping and testing, while working closely with mechanical engineering, neuroscience, and product teams.

IN THIS ROLE, YOU WILL

  • Design, prototype, and validate electronics for our wearable neural interface, with ownership of the analog front-end and biopotential signal chain
  • Develop architectures that balance signal quality, power, reliability, and manufacturability
  • Design, bring up, debug, and validate PCBs for neural-sensing hardware
  • Select and integrate key electronic components
  • Build test setups to evaluate signal quality, noise, power, and reliability
  • Work with mechanical engineers to integrate electronics into compact wearables
  • Work with suppliers and manufacturers to turn prototypes into products

FOR THIS ROLE, YOU MUST HAVE:

  • 5+ years of experience in Electrical Engineering, or related field
  • Strong experience designing and prototyping electronic hardware products
  • Strong experience with schematic design, PCB development, board bring-up, debugging, and validation
  • Good understanding of analog and digital circuits, sensors, power systems, batteries, and communication interfaces
  • Experience using lab equipment to debug and characterize hardware systems
  • Strong ownership, practical problem-solving skills, and attention to detail

IDEALLY, YOU HAVE

  • Experience with wearable devices, consumer electronics, medical devices, AR/VR devices, smartwatches, fitness trackers, or biosensing devices
  • Experience with products using EEG, EMG, ECG, PPG, optical, inertial, or other physiological sensors
  • Experience with low-noise analog front ends, biopotential acquisition, signal integrity, shielding, grounding, or EMI/EMC constraints
  • Experience with BLE, Wi-Fi, RF systems, antenna integration, or wireless certification
  • Experience supporting early manufacturing, supplier coordination, test automation, or EVT/DVT/PVT builds

In case of any doubts or questions, please contact - careers@noialabs.ai

Why work at Noïa Labs

  • Culture: Early-stage startup where each person has major impact on product and technology; hands-on roles with fast iteration; collaborative environment across neuroscience, ML, hardware, and product.
  • Remote/Hybrid Policy: Hybrid model with Paris HQ (roles are listed as “Paris, hybrid”).
  • Notable Perks: Opportunity to work on one of the most ambitious problems in human-AI interaction; be part of a small, high-caliber team; work on cutting-edge BCI technology from concept to mass production.
  • Engineering Culture: Emphasis on ownership, practical problem-solving, and attention to detail. Cross-functional collaboration with electrical engineering, ML, and product teams.

Application questions