Wearability & Human Factors Scientist

Snap Inc.; Los Angeles (CA); On-site; USD 157,000 - 235,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Competitive compensation packages

Job summary

Snap Inc. is seeking a skilled Human Factors Engineer to lead wearability studies for wearable devices and contribute to product development.

You will design experiments, collect ergonomic data, and develop new measurement methods, collaborating with Industrial Design, Engineering, and User Research to translate insights into requirements. The role emphasizes hands-on prototype work, data analysis in MATLAB/Python, and documentation to improve measurement quality and scalability within a

Qualifications

• Bachelor’s degree in Human Factors, Ergonomics, Biomechanics, Mechanical Engineering, Biomedical Engineering, Mechatronics, Robotics, Kinesiology, or related field.

Responsibilities

• Design and execute quantitative and qualitative human-subject studies to evaluate wearability and user experience.
• Collect and interpret ergonomic, anthropometric, and biomechanical data.
• Develop measurement methods, instrumentation, and protocols for wearability evaluation.
• Design, fabricate, and validate instrumented prototypes and lab fixtures.
• Integrate sensing technologies (pressure, force, temperature, motion, eye tracking, physiological sensors) into research platforms.
• Collaborate with cross-functional teams to translate findings into engineering requirements.

Skills

Human factors expertise

Ergonomics

Wearable device research

Experimental design

Data interpretation

Technical writing

Statistical analysis

Education

Bachelor’s degree in related technical field

Master’s degree or PhD preferred

Tools

MATLAB

Python

R

Lab instrumentation

Job description

Snap Inc. is seeking a skilled Human Factors Engineer to lead wearability studies for wearable devices and contribute to product development.

You will design experiments, collect ergonomic data, and develop new measurement methods, collaborating with Industrial Design, Engineering, and User Research to translate insights into requirements. The role emphasizes hands-on prototype work, data analysis in MATLAB/Python, and documentation to improve measurement quality and scalability within a