Meta Reality Labs - W2 Contract
Senior Hardware System Engineer - Sunnyvale, CA
Hardware System Engineer (Sensing Technology for Wearables)
Meta is looking for an experienced Hardware Systems Engineer to join their team in Sunnyvale, CA! This position will be working on various sensor design and bring-up activities for a variety of sensors that may include Capacitive Sensors (CapTouch), Force, Proximity, and/or ambient light sensors. In this role you will contribute to smart glass sensor design and bring-up, as well as characterization and validation for AR Smart Glasses.
Responsibilities:
Prototype new sensor architectures and work through bring-up activities
Spearhead sensor design and bring-up, including design, characterization, and validation
Define Sensor characterization/validation methodologies for sensors (IMU, proximity, capacitive touch, and/or ambient light sensors)
Track and execute detailed test plans for the system modules and subsystems characterization to meet key deadlines and priority goals.
Contribute to the design of new sensor module architectures to support additional features
Develop automated test setups with SW scripting to implement module characterization/validation
Own execution, interpretation, and reporting of results.
Support system bring up and debug activities
Clearly communicate test plans and results
Qualifications:
5+ years of HW/EE experience with strong sensor design, development, characterization and validation experience ideally within consumer electronics or similar products
Hands-on experience in design, development, characterization, and validation of sensing applications
Experience with one or more of the following sensors - Capacitive Sensors (CapTouch), Force, and/or ambient light sensors
Understanding of board schematics and board layout.
Ability to find proper probe locations and identify potential points of failure in the DUT.
Skilled using Python for data processing and automation.
Self-motivated and team player
Bachelor's degree in electrical engineering, Physics, Computer Science or related
Preferred Qualifications:
Master's in electrical engineering, Physics, or computer science