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About the Role
We are seeking a talented Embedded Software Engineer to develop the software that powers our non-invasive neural interface. You will work on a compact wearable system that must acquire high-quality neural signals in real time while operating under tight constraints on latency, power, reliability, and data quality. This is a hands-on role for someone who enjoys building robust embedded systems, working across firmware and hardware, and iterating quickly in a fast-moving startup environment. The role spans firmware architecture, sensor data acquisition, device communication, hardware bring-up, testing and integration, while working closely with electrical engineering, ML, and product.
Responsibilities
- Design, implement, and validate embedded software for our wearable neural interface.
- Develop firmware for sensor acquisition, timing, buffering, and communication.
- Bring up, debug, and validate hardware prototypes with the electronics team.
- Optimize embedded systems for latency, power, reliability, and signal quality.
- Build tools and tests to validate device behavior and data quality.
- Work with infra and ML teams to stream neural data reliably into the platform.
- Work with suppliers and manufacturers to turn prototypes into products.
Requirements
- 5+ years of experience in embedded software, firmware engineering, or a related field
- Strong experience writing reliable embedded software in C, C++, or Rust
- Experience with microcontrollers, bare-metal systems, RTOS, or embedded Linux
- Experience developing firmware for battery-powered or resource-constrained embedded systems
- Experience with BLE, Wi-Fi, USB, SPI, I2C, UART, or other device communication protocols
- Experience debugging firmware and hardware issues with lab equipment
- Strong ownership, practical problem-solving skills, and attention to detail
- 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 real-time signal acquisition, synchronization, buffering, or streaming
- Experience with secure firmware updates, OTA updates, embedded security, or production firmware workflows
- Experience supporting hardware bring-up, test automation, supplier coordination, or EVT/DVT/PVT builds
Skills
- C
- C++
- Rust
- Microcontrollers
- Bare-metal systems
- RTOS
- Embedded Linux
- BLE
- Wi-Fi
- USB
- SPI
- I2C
- UART
- Firmware debugging
- Hardware debugging
- Wearable devices
- Consumer electronics
- Medical devices
- AR/VR devices
- Smartwatches
- Fitness trackers
- Biosensing devices
- EEG
- EMG
- ECG
- PPG
- Optical sensors
- Inertial sensors
- Physiological sensors
- Real-time signal acquisition
- Synchronization
- Buffering
- Streaming
- Secure firmware updates
- OTA updates
- Embedded security
- Production firmware workflows
- Hardware bring-up
- Test automation
- Supplier coordination
- EVT/DVT/PVT builds
Location
- Paris
Work Type
- Hybrid
Experience Level
- 5+ years of experience
About the Company
- 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.