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Mecka AI

Labeled human movement data for AI

Hardware Manufacturing Engineer

Manufacturing EngineeringUpdated on Nov 13
Full-timeCA$155k - CA$170k /yr

About the Job

Requirements

  • A track record of personally leading electronic hardware into production, with measurable improvements in yield, capacity, quality, or cost.
  • Experience taking electronic hardware, sensors, or wearable products from development builds into production.
  • Hands-on skills in assembly process development, fixture design, production testing, and factory troubleshooting.
  • Knowledge of process qualification, measurement repeatability, statistical process control, and supplier quality.
  • Ability to connect manufacturing variation to physical defects and changes in product performance.
  • Experience working with engineers and suppliers to document processes.
  • Ability to travel frequently to Shenzhen.

Responsibilities

  • Develop production readiness and capacity plans with suppliers, aligning assembly, tooling, quality, and delivery requirements.
  • Build and qualify fixtures, calibration equipment, and production tests with engineering teams and suppliers.
  • Use yield, cycle-time, and failure data to find production constraints and verify corrective actions.
  • Improve designs for manufacturing.
  • Establish repair, rework, and requalification processes that return devices to service.
  • Guide suppliers through technical reviews, process qualification, and changes that improve quality, output, and cost.

Desired Qualifications

  • Experience with flexible circuits, textiles, adhesives, sensor calibration, or repair operations.

About the Company

Mecka AI

Labeled human movement data for AI

Mecka AI builds custom, labeled datasets of human movement by recording people performing specific tasks and analyzing the video to create multimodal data for AI and robotics training. Its offerings are data-as-a-service: bespoke, high-quality video data that is anonymized, meticulously annotated, and ready for direct ingestion into machine learning models. The company differentiates itself with a global, on-demand data-collection network and task-focused labeling to supply precise, task-specific datasets for autonomous systems, including humanoid robotics partners. Its goal is to accelerate the development and deployment of embodied AI and autonomous technologies by providing scalable, ready-to-use movement data.

Company size
51-200
Company stage
Series B
Total funding
$120M
Headquarters
New York City, New York
Founded
2025

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