Lead Electronic Engineer – Wearable AI Hardware & Prototyping

Doist; San Francisco (CA); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Founding Team ownership

Competitive compensation

Equity

Top-tier healthcare

401(k) retirement plan

Unlimited PTO

New Parent Leave: 12 weeks

Hybrid office: 3x in-office per week

New laptops and workstations

Job summary

Plaud Inc. in San Francisco is seeking a senior hardware engineer to design and develop electronic systems for AI wearable prototypes, including schematic design, board bring-up, and system validation.

You will collaborate with mechanical and firmware teams to deliver fully functional devices and support rapid iteration cycles. The ideal candidate has a 5+ year track record in consumer electronics or wearables, strong debugging skills, and experience with Altium, Cadence, or KiCad.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering or related field.
• 5+ years of experience in consumer electronics, IoT, or wearable devices.
• Experience with schematic design, board bring-up and system debugging.

Responsibilities

• Design and develop electronic systems for AI wearable prototypes, including schematic design and system architecture.
• Build and debug prototype hardware, supporting board bring-up, sensor integration, and validation.
• Collaborate with mechanical and firmware engineers to deliver functional prototype devices.
• Evaluate feasibility and support rapid hardware iteration cycles.

Skills

Schematic design

Board bring-up

System debugging

Cross-functional collaboration

Education

Bachelors or Masters in Electrical Engineering

Tools

Altium Designer

Cadence Allegro/OrCAD

KiCad

Oscilloscopes & logic analyzers

Job description

Plaud Inc. in San Francisco is seeking a senior hardware engineer to design and develop electronic systems for AI wearable prototypes, including schematic design, board bring-up, and system validation.

You will collaborate with mechanical and firmware teams to deliver fully functional devices and support rapid iteration cycles. The ideal candidate has a 5+ year track record in consumer electronics or wearables, strong debugging skills, and experience with Altium, Cadence, or KiCad.