DSP and Hearing Engineer
Fortell
DSP and Hearing Engineer
Fortell
AI-powered hearing aids for speech clarity
Fortell is a deep tech consumer hardware company. We build breakthrough hearing aids (powered by AI on custom silicon) that transform how people experience sound and connect with the world. We came out of stealth last December and the consumer response has been overwhelming. Every day, we hear profound anecdotes from our customers and their loved ones: a dad who’s grateful to hear his daughter’s wedding vows; a college student who can finally join conversations in the dining hall; a couple that’s reconnecting after years of drifting apart. Our engineering team is hard at work building the next generation of life changing technology, and we’re hiring exceptional operators to scale our distribution.
We're seeking a DSP Engineer with experience in the audio or hearing aid industries to join our team based in New York City. This role will strongly emphasize evaluation of our hearing aids and competitor devices via critical listening and acoustic measurement, but also encourage direct contribution to signal processing algorithms that drive sound quality on our devices.
Sound Quality Ownership: Work across DSP, machine learning, and audiology teams to understand how our product configuration translates into sound quality perceived by our users, and understand how we can improve it without impacting speech intelligibility.
Acoustic Measurement and Analysis: Evaluate hearing aid performance using industry-standard equipment (Kemar, Ear and cheek simulators). Define test protocols and analyze acoustic data with common techniques (spectral analysis, speech intelligibility metrics). Where appropriate, apply judgement using critical listening.
Competitive Benchmarking: Learn about the industry state of the art using acoustic measurement and critical listening, and use this understanding to improve our product.
Algorithm Development: Contribute directly to authoring and tuning DSP algorithms in Python. Embedded development experience is nice to have, but not required.
Hearing Aid Fitting Algorithms: Have experience translating audiograms, user preferences, and physical hearing aid configuration into customized user configurations.
Hearing Aid Signal Processing: Have experience authoring and tuning classical hearing aid signal processing algorithms (e.g. noise reduction, feedback cancellation, wide dynamic range compression, beamforming, limiting).
Acoustics: Have a working knowledge of physical acoustics and psychoacoustics, as well as practical experience making acoustic measurements with head-worn audio devices.
Python: Be able to read, write, and modify Python code that supports modeling, testing, and interaction with embedded algorithms. Proficiency in Matlab is sufficient, but you will be asked to transition to Python as your daily driver for this role.
Technical Communication: Have experience communicating with non-engineers and translating their feedback into what could be happening at the signal processing layer. This role will likely interact frequently with our audiology team.
#LI-Hybrid
Fortell develops AI-powered hearing aids for adults with mild to profound hearing loss, focusing on noisy environments. Its Fortell AI Hearing Aid uses spatial-AI algorithms and a low-latency custom chip to separate speech from background noise in real time, tackling the cocktail party problem, and is controlled via an iPhone app with remote audiology support. The product is sold direct-to-consumer through a flagship NYC clinic with an all-inclusive package (devices, 3-year warranty, and five years of audiological care) at $6,800, with plans to expand to more clinics. Its goal is to improve speech comprehension in challenging acoustics and broaden access by growing its network of clinics while advancing AI-powered hearing technologies.
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