Hardware, Tactile Gloves Lead

The role

You will build tactile gloves that capture how people handle objects and perform skilled work. You will lead commercial glove evaluation and in-house development from product requirements through validation and production.

What you will do

• Define requirements and build milestones for sensing performance, fit, comfort, durability, calibration, and data quality.
• Source and benchmark commercial gloves and sensors.
• Guide system architecture and build prototypes with sensing, mechanical, electronics, and firmware engineers.
• Own supplier selection, build schedules, component costs, tooling, and manufacturing readiness.
• Establish calibration methods, production tests, acceptance criteria, and fixtures.
• Lead pilot deployments and wear testing for repeated flexing, sweat, abrasion, and long-term signal stability.

Required qualifications

• Experience personally taking a wearable, sensor-based, or similarly complex hardware product from prototypes through validation and production.
• Deep hands-on expertise in sensing, electronics, mechanical engineering, or wearable design.
• Experience characterizing tactile, force, pressure, or comparable sensors.
• Ability to design experiments to measure sensitivity, hysteresis, drift, repeatability, and calibration stability.
• Ability to reason about how flexible materials, sensor mounting, interconnects, and fit affect measurement quality and durability.
• Experience working directly with suppliers on design for manufacturing and test, tooling, production quality, and cost.
• Ability to turn ambiguous requirements into testable specifications.

Nice to have

• Experience with tactile gloves, haptics, flexible circuits, textiles, or other hardware worn on the hand.
• Experience scaling production calibration or collecting synchronized sensor data for robotics and machine learning.

About the company

Mecka AI is building the data infrastructure layer for robotics and embodied AI. They design and operate global systems for data capture, data labeling, and hardware-enabled workflows.