Electrical Engineer

About the role

Our tightly integrated electronics pack a broad range of functions into a small package. We are seeking an Electrical Engineer with experience in wearable products, or similar areas in consumer electronics, who can own and drive system design through to production.

Responsibilities

• Own & drive the development of the electrical architecture, design, prototyping, and development of one or more hardware systems (MCU/SOC/FPGA, battery, sensing, RF, Audio).
• Contribute to hardware process and tool flow definition, hardware vendor engagement, and management.
• Serve as a domain expert on one or more areas of electrical design, such as audio, DSP, battery, RF, or sensing.
• Define hardware roadmaps, architectures, trade-offs, specifications, development plans, and evaluation methods for wearable electronics.
• Hands-on PCBA design and bring-up: component selection, schematic, layout, assembly, bring-up, test/debug, and integration into larger systems.
• Collaborate with mechanical, firmware, software, UX, and machine learning partners to define, evaluate, and optimize hardware systems.
• Identify, evaluate, engage, and drive partners and vendors to accelerate hardware development.

Requirements

• Experience working independently in high-ambiguity environments.
• 10+ years of experience owning and delivering complex EE designs.
• 5+ years of experience leading & delivering complex projects encompassing computing, electrical systems, sensors, power, mechanical, and firmware.
• Experience shipping and supporting a complex product including sensors, compute, HMI, and battery.
• Strong fundamental EE skills across analog & digital domains, PCB design, and simulation tools.
• Familiar with firmware development and comfortable with independent basic bring-up and debug code.
• Excellent written & verbal communication skills.
• Passion for learning, and experimentation evidenced by side projects or learning endeavors.
• BS or MS in EE or equivalent.

Preferred Qualifications

• Deep experience with one of the following areas: battery, RF, capacitive touch, audio, or image sensors.
• Experience developing and shipping a wearable product, including machine perception or machine learning-powered features, with challenging power and form factor constraints.
• Experience selecting and guiding partners to augment development speed/bandwidth.
• Familiarity with machine learning algorithms, data collection, and hardware acceleration.
• Experience in a startup or research organization.