Electrical Engineer
Designs and owns electrical architecture for compact wearable hardware systems with MCU/SOC/FPGA, battery, sensing, RF, and audio. Requires 10+ years EE experience shipping complex battery-powered consumer electronics, strong PCB skills, and cross-functional collaboration.
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.
Required Qualifications
- 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.
Benefits
- 401(k) max employer match: 3.5% of compensation
- 100% employer-paid health, vision, and dental benefits for you and your dependents
- Unlimited PTO and sick time
- Flexible spending account with employer matching up to $1,650/year (medical FSA)
- Guardian Employee Assistance Program (EAP)
- Opportunity to share in the company's success with competitive stock options
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