Whisper.ai

Firmware Engineer for Deep Learning Hearing Aids at Whisper.ai

San Francisco · Full Time
Whisper uses deep learning in hearing aids to amplify only the voices and sounds of interest - the #1 need for 360MM+ folks with hearing loss. Our system has 10x the noise reduction of existing products and builds the dataset and footprint for the best hearing and voice algorithms in the world. We have top audiologists and hospitals on board, Tier 1 investors, working prototypes, preorders, and an amazing team. If you're passionate about helping people hear again and research grade technical work we'd love to talk to you! Read More
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Job Description

We're looking for firmware engineers to build the future of hearing instruments and take on significant leadership and responsibility at a fast-growing startup. Relevant experience includes:

- Low level linux experience, including device trees, drivers, uboot, and exotic platforms
- Embedded experience on bare metal ARM and peripherals. Deep knowledge of the tools and workflow (JLink, OpenOCD, Logic analyzers).
- Prior Audio DSP work or experience with ARM SIMD/Hexagon extremely relevant
- Similar bonus for prior RF protocol work - FEC, channel hopping, synchronizing multiple devices from a practical embedded perspective
- Drive to build systems that haven't existed before vs simply rehash existing hardware

Skills - must have:
- Proficient in c, python
- Comfortable reading schematics and datasheets
- Know your way around hardware debugging tools: oscilloscope, logic analyzer
- Experience with embedded stacks for ARM cores
- Strict power and latency constraints, i.e experience working on a battery powered device

Nice to Have:
- Linux kernel and system programming
- C++
- RF / BLE experience and spectrum analyzer, network analyzer know-how
- Experience with Audio DSP

If you're interested in difficult and novel problems in embedded audio, immediate ownership of company defining decisions, top compensation, and work which directly helps 360MM+ people hear again - we'd love to hear from you.

Whisper.ai is an an equal opportunity employer committed to a diverse workforce with an inclusive working environment for everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

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What We're Building

Whisper uses deep learning in hearing aids to amplify only the voices and sounds of interest - the #1 need for 360MM+ folks with hearing loss. Our system has 10x the noise reduction of the leading competitors with a lower price point - and builds the dataset and footprint for the best hearing and voice algorithms in the world. We've got top audiologists and hospitals on board, proof of concept functionality, preorders, tier 1 investors, and an amazing engineering team. If you're passionate about expanding the capacity of humankind, helping folks, and research grade technical work we'd love to talk to you!

Other Jobs at Whisper.ai

Whisper.ai Team

Dwight Crow
CoFounder Whisper.ai. Sold prior ML startup to Facebook. Ran eComm team at FB, was early Arista Networks, & CompSci President UC Berkeley.
Andrew Song
Co-founder, Whisper.ai. Led consumer messaging PM team @ Facebook. Software experience spanning embedded HW, software security, and mobile + web engineering.
Shlomo Zippel
Co-Founder, Whisper.ai
Emmett McQuinn
Effective Computer Scientist; Built amazing things at @Stanford Bio-X, @IBM Research, @San Diego Supercomputer Center, @Quid, @Skydio .
Zachary Rich
Hardware engineer, Whisper.ai. Previously: HW lead on Apple AirPods & Lightning Cables.
Nikø Reid
Working at Whisper.ai as the lead Product Designer. Worked at eero and Apple in product design and operations.

Whisper.ai Investors

Avichal Garg
serial entrepreneur; former Director of Product at @Facebook ; part-time at @Y Combinator
Lee Linden
Entrepreneur & Early Stage Investor Founder of @Tapjoy Founder of @Karma Ads/Commerce at @Facebook