You will join the team as a Senior Embedded Software Engineer, in charge of Wisear’s firmware design, implementation and integration.
Your main tasks will include :
- Design and implement firmware to support various algorithms embedded in earphones and wireless communication with the smartphone
- Adapt Wisear’s signal processing algorithms to the highly-constrained environment of microcontrollers
We are looking for a highly motivated candidate with the following experience and skills.
- 3+ years of experience in embedded software development
- C / C++ / Arduino
- BT/BLE technologies
- Real-time Operating Systems (RTOS)
- English at a conversational level
Nice to have:
- TensorFlow Lite or equivalent
- Experience building systems with constrained memory requirements and energy budget
- Good knowledge of electronics
Considering that the company is at a rather early stage, each team member will have a strong impact on the project. We are looking for a teammate who demonstrates drive and autonomy, and shares our genuine curiosity and strong interest for this marvelous topic that is understanding the brain!
À propos de Wisear
Wisear develops a solution that allows audio manufacturers to transform their true wireless earphones into brain recording devices.
Today we are able to record brain and muscle electrical activity - called electroencephalogram (EEG) or electromyogram (EMG) - using electrodes placed on the scalp. The extent of the potential use cases is massive (medical diagnosis, controlling devices, relaxation coaching, etc.). But the size and looks of current devices prevents their usage by the public on a daily basis, as would be necessary to unlock the most promising use cases.
Recent progress in the technology now allows recording EEG/EMG signals using electrodes placed in the ear. It is then possible to include this technology in devices such as true wireless earphones, which will open neuronal recording to a large audience.
Wisear builds the first EEG/EMG data processing solution for earphones makers, along with accompanying them to turn their earphones into brain recording devices. The first use cases we cover allow people to control their devices using their brain and facial muscle activity. This is just a first step to unlock the potential of this technology and we are convinced that in the near future, this will be a key technology for early diagnosis and treatment monitoring of brain pathologies (e.g. epilepsy, ADHD, depression, Parkinson’s, etc.)
Embedded Systems, IoT, C/C++, Arduino, RTOS, BT/BLE, Git, English language skills
Nice to have
TensorFlow Lite, PO / PM, Knowledge in electronics, French language