Embedded Hardware Engineer – Wearables & Sensor Systems

DeepReach AI; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

DeepReach AI in San Francisco designs wearable multi-sensor capture devices and embedded systems for robot learning. You will design hardware, integrate cameras and IMUs, and drive sensor synchronization from prototype to mass production.

We seek hands-on engineers with hardware development experience, who can own both hardware and firmware challenges, and collaborate with algorithms teams to ensure robust data capture in real-world conditions.

Qualifications

• BS or higher in Electrical Engineering, Computer Engineering, or related field.
• 3+ years hardware development experience including at least one product from prototype to mass production.
• Experience with SoC board design, high-speed interfaces (MIPI CSI, USB), and signal and power integrity.
• Proficiency in C/C++ for embedded development; familiarity with embedded Linux or an RTOS.
• Hands-on experience with sensor data acquisition and synchronization.

Responsibilities

• Design hardware for wearable multi-sensor capture devices: schematics, PCB design and review, and board bring-up.
• Integrate cameras, IMUs, and other sensors, and own hardware-level multi-sensor time synchronization.
• Develop and maintain embedded firmware and low-level drivers for reliable long-duration capture.
• Own system-level challenges such as power, thermals, and mechanical reliability, taking devices from prototype to mass production.
• Define production test and quality processes, and work with suppliers and manufacturers.
• Partner with the algorithms team on sensor selection, calibration, and field testing.

Skills

C/C++ for embedded

Sensor data synchronization

Embedded firmware development

Power integrity

System bring-up

Education

BS or higher in Electrical Engineering / Computer Engineering

Tools

SoC board design

MIPI CSI / USB interfaces

PCB design

Embedded Linux / RTOS

Job description

DeepReach AI in San Francisco designs wearable multi-sensor capture devices and embedded systems for robot learning. You will design hardware, integrate cameras and IMUs, and drive sensor synchronization from prototype to mass production.

We seek hands-on engineers with hardware development experience, who can own both hardware and firmware challenges, and collaborate with algorithms teams to ensure robust data capture in real-world conditions.