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San Francisco, California, United States
Onsite
We're a team of engineers, neuroscientists, and designers working to deepen our understanding of the human brain. We're building a wearable brain-computer interface and models that decode emotion, with the goal of putting human experience and wellbeing at the center of technology. Our work spans neural sensors, embedded systems, scientific software, and AI.
We're venture funded, with backing from founders and executives across AI, neurotechnology, consumer hardware, and pharmaceuticals, including Google, Hugging Face, Apple, Stability, Microsoft, and Dropbox.
Enable a connected wearable that people can trust with their brain data and rely on every day. You'll help make our wearable secure, seamlessly connected to the cloud through its desktop gateway, and easy to manage and update throughout its life.
This Internet of Things (IoT) role brings embedded Linux, edge gateways, and cloud-connected device services together into one coherent experience. Our device communication uses gRPC and Protocol Buffers (Protobuf) over IP, with TLS protecting communication. Your work will help people access new capabilities through reliable over-the-air (OTA) updates and give our team the visibility to keep devices healthy and improve the experience in the field.
Enable a secure device experience, with trusted identity, straightforward pairing, and protected access to device controls and data.
Make connectivity seamless across Ethernet, USB, and Bluetooth, so people can focus on their recording rather than the connection.
Enable reliable data connectivity from the wearable through the desktop gateway to the cloud, preserving data integrity across changing network conditions.
Make devices reliably updatable over the air, with authenticated releases, clear progress, and recovery that gives users confidence in every update.
Enable cloud-based device management and visibility into device identity, software versions, and health, with the desktop gateway connecting the wearable to cloud services.
Help devices become more reliable as we learn from real-world use, turning diagnostic insights and automated system validation into a better experience across devices and host platforms.
An engineer with a degree in computer science, electrical engineering, computer engineering, or a related field, and at least five years of relevant professional experience.
Experienced building software for connected devices, Linux systems, or device gateways.
Comfortable working in modern C++ and using Python or another scripting language to explore and automate system behavior.
Familiar with TCP/IP networking, authenticated communication, and designing robust distributed systems.
Experienced reasoning across application, operating-system, and network boundaries.
Interested in making sophisticated device behavior intuitive for users and understandable to the engineers supporting them.
Have worked with USB, Linux gadget interfaces, or Bluetooth Classic PAN, or bring related wireless experience with Wi-Fi or Bluetooth Low Energy (BLE).
Know Yocto, Buildroot, systemd, or embedded Linux deployment, including networking with BlueZ or NetworkManager.
Have built signed firmware updates, OTA delivery, or A/B update and recovery systems using RAUC, Mender, SWUpdate, or comparable tools.
Have used MQTT, CoAP, or publish/subscribe messaging in connected products, or worked with cloud IoT platforms such as AWS IoT Core, AWS IoT Greengrass, or Azure IoT Hub.
Have worked on device fleet management, telemetry, or remote diagnostics, with tools such as OpenTelemetry, Prometheus, or Grafana.
Bring experience with TLS/mTLS, public key infrastructure (PKI), X.509 certificates, device provisioning, or clock synchronization with NTP or PTP.
Have developed device connectivity across Linux, Windows, or macOS.
We're looking for a strong foundation and the ability to grow. You don't need experience with every technology we use, and the "You might also" section is entirely optional. If the core work feels like a good match but some details are new to you, we'd like to hear from you. Prior neuroscience or brain-computer interface experience isn't expected.
We're a small, high-performance team with quick feedback loops and room to experiment. You'll work directly with people across engineering, neuroscience, and design, understand why your work matters, and have real influence over how we build.
We work with modern software and hardware stacks, including C++23, modern Python, and a Linux-forward development environment. We use principled engineering and thoughtful design to explore, build and test, aided by modern agentic workflows. You'll have room to shape both the product and the way we create it.
