Founding Electrical Engineer (Neuro R&D)

Voyage; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Voyage is seeking an Electronics Engineer to take prototypes from breadboard to production-grade boards, owning the electronic architecture downstream of sensing nodes. You will work with a multimodal sensing stack and help translate research into a wearable, reliable system.

You will collaborate with a founding technical team across hardware, AI/ML, and design to push the boundaries of Mind Computing, focusing on low-noise performance, safety, and scalable manufacturing.

Qualifications

• Strong fundamentals in low-noise analogue electronics and sensor integration.
• Extensive multilayer PCB design experience with ability to miniaturize designs.
• Experience with DFM/ DFA for scalable manufacturing solutions.
• Experience with SPI, UART, I2C and similar protocols.
• Embedded firmware development experience in C, C++, Rust.
• Familiarity with power isolation, EMI/EMC, and medical-grade standards.

Responsibilities

• Take prototypes from breadboard to production-grade boards with full ownership of the electronic architecture downstream of sensing nodes.
• Work downstream of a multimodal sensing stack (EEG, EMG, RF sensing) to maintain signal integrity while keeping size and wearability in mind.
• Collaborate with the founding technical team to move fast from bench to body and evolve the Mind Computing playbook.

Skills

Analytical mindset

Problem solving

Cross-functional collaboration

Fast iteration

Tools

Low-noise analogue electronics

Sensor integration

Multilayer PCB design

DFM/ DFA

SPI/UART/I2C protocols

Embedded firmware (C, C++, Rust)

Power isolation & EMI/EMC

Wearable biosignals

Low-power systems & batteries

FPGA / high-channel-count electronics

Job description

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.

Mainly, most people think the bottleneck in neurotech is the model. On Voyage, we think it's whether anyone wants to wear the thing tomorrow. Desire is a technical first principle. That's an EE problem before it's an ML problem. Every milliamp, every layer stack, every gram you shave off is adoption – and adoption is data, which makes it the actual research. You won't be building infrastructure for someone else's science. The board is the science.

You’ll take prototypes from messy breadboard to production‑grade boards, with full ownership of optimizing our electronic architecture downstream of the sensing nodes.

What we need

• Strong fundamentals in low‑noise analogue electronics, sensor integration, grounding/shielding, low‑noise power systems
• Extensive multilayer PCB design experience, and the judgment to convert large designs into miniaturized constraints
• Comfortable with DFM/DFA to convert R&D rigs to scalable manufacturing solutions
• Experience with SPI, UART, I2C and similar protocols across both low‑ and high‑speed transfer
• Experience with embedded firmware development (C, C++, Rust, etc)
• Familiarity designing around power isolation, consumer safety, wireless comms, EMI/EMC, and medical‑grade standards (IEEE 360, IEC 62133, etc.)
• Wearable‑level constraints and biosignal experience is a major plus
• Familiarity with low‑power systems and custom battery manufacturing is a plus
• FPGA / high‑channel‑count electronics experience is a plus

Who we're looking for

We care most about people who may have found their way into neurotech through EE fundamentals. In fact, the neuro‑level knowledge required for this role is something that can be acquired quickly – but the electronics intuition cannot. If you've spent more time thinking about optimizing ground planes than just about neurons, that's the right instinct.

EEs on Voyage will work directly and downstream of a multimodal sensing stack. For example, this may span across EEG, EMG, and radio‑frequency sensing (mmWave, ultrasound). The challenge isn’t any one of them in isolation, it is having several sit on the same board without drowning each other in noise. You’ll take our Sensor Teams’ experiments and turn it into a signal chain that survives real‑life use: motion artifact, skin impedance, a battery that has to last a full day of wear. You’ll work closely with the rest of the founding technical team, moving fast between benchtop and body. The playbook for building in Mind Computing has not yet been written — you will be one of the first to do so.