Мэтч & Сопровод
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Описание вакансии
TL;DR
Electrical Engineer II (Wearables): Designing and developing low-power, mixed-signal electronic circuits for next-generation wearable technology with an accent on schematic capture, PCB layout, and hardware validation. Focus on delivering reliable high-volume consumer electronics through cross-functional collaboration and rigorous laboratory testing.
Location: Must be based in or able to relocate to Boston, MA
Salary: $110,000 - $150,000
Company
WHOOP is a human performance company dedicated to unlocking healthspan through advanced wearable technology and data-driven insights.
What you will do
- Design and develop low-power, mixed-signal electronic circuits for wearable products from concept to production.
- Create schematics, support PCB layout, and perform hardware bring-up and characterization.
- Collaborate with cross-functional teams including mechanical, firmware, and manufacturing to define requirements and resolve technical issues.
- Support new product introduction (NPI) by partnering with suppliers and contract manufacturers.
- Research and evaluate new components and design approaches to improve product performance and reliability.
- Travel domestically and internationally up to 15% to support manufacturing and supplier operations.
Requirements
- BS or greater in Electrical Engineering or a related field.
- 2+ years of relevant professional experience.
- Strong understanding of electrical engineering fundamentals, including analog/digital design, power management, and signal integrity.
- Proficiency in schematic capture and PCB design using tools like Altium.
- Hands-on laboratory experience with soldering, oscilloscopes, and other test equipment.
- Must be based in or able to relocate to the Boston, MA office.
Culture & Benefits
- Competitive base salary with meaningful equity packages.
- Commitment to a diverse and inclusive work environment.
- Opportunities to work on high-volume consumer electronics from concept to launch.
- Focus on professional growth and leveraging modern AI tools in engineering workflows.
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