Sensor Engineer (Neuro)

NeuroTech X; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Voyage, a mind computing venture, seeks engineers with deep fundamentals in wave propagation, transduction, and biosensor integration for wearable technology. You will explore biopotentials, tissue imaging, and optical sensing, aiming to unify disparate sensing modalities into practical, body-worn devices.

Join a founding team pushing the boundaries of human-machine interaction, building production-ready sensors from first principles in a creative, experimental environment.

Qualifications

• Strong fundamentals in wave propagation and transduction physics in human tissue.
• 3+ years sensor engineering experience (biosensors, optical sensors; neuro-agnostic).
• Experience integrating sensors into wearables and production-grade electronics is a plus.

Responsibilities

• Work on sensors for biopotentials, tissue imaging, and optical sensing and integrate them into a cohesive wearable system.
• Collaborate with the founding team to translate findings into production-ready technologies.

Skills

Wave propagation

Transduction physics

Signal-to-noise

Instrumentation design

Tools

Biosensors

Optical sensors

Wearables integration

Electronics integration

Job description

About the job

Who we are

Voyage is a Maison for Mind Computing – the first deep tech couture house, engineering non-invasive neural interfaces as objects of desire. With a founding team from Apple, MIT Media Lab, Harvard, the Royal College of Art and more, we blend frontier science with cultural gravity to create technology that is equally functional, aesthetically refined, and highly adoptable. All team members are known as ‘Technical Philosophers’ and collaborate at the intersection of hardware, AI/ML, neuro, design, and philosophy of mind. Applicants can expect a creative, experimental environment focused on pushing the boundaries of human-machine interaction.

Most of what you’d want to measure through skin doesn’t have a sensor yet. So the choice isn’t necessarily a pre-made component, it is one built from the physics up.

Most instrumentation in this space was built for a lab bench, not a body walking around all day. You’ll work upwards from wave propagation and transduction physics – figuring out what’s physically measurable through human tissue in the real world, and building the sensor that measures it, sometimes down to the material itself. The modality doesn’t exist until you make it exist, and it doesn’t count until it survives outside a shielded room.

What we need

• Extremely strong fundamentals in wave propagation and transduction physics in human tissue, signal-to-noise fundamentals for reasoning about weak and hard-to-detect physiological signals, and instrumentation design
• 3+ years of extensive sensor engineering experience (biosensors, optical sensors, etc; neuro-agnostic)
• Experience integrating sensors into wearables and production-grade electronics is a major plus
• EE experience is a plus, mainly for integration of the sensor stack further downstream, along with end-to-end experimentation
• Manufacturing experience with unconventional hydrogels/materials is a plus

Who we’re looking for

We care more about people who developed neurotech interest from a physical fundamentals standpoint. A non-neurotech background is perfectly acceptable provided there’s a deep, fundamental understanding of applying first-principles physics into sensor stacks. The intuition matters above all, however we are looking for people who have experience with biosensors at the very least. Neural sensing is a major plus.

On Voyage

Immediate targets span across biopotentials (EMG, EEG), tissue imaging (ultrasound, short-wave radar, magnetometry), and optical imaging of skin and blood (mm-wave, PPG, fNIRS). You won’t be working on one of these in isolation – part of the job is reasoning about how they’d eventually sit together on the same body without interfering with each other. You will be experimenting to understand hybrids that are best suited for the real-world, and work with the rest of the founding team to turn your findings into something production-ready. The playbook for building in Mind Computing has not yet been written – you will be one of the first to do so.