Full-Time

Capture Platform Lead

System Architect

Mecka AI

Mecka AI

51-200 employees

Labeled human movement data for robotics

Compensation Overview

CA$200k - CA$240k/yr

Toronto, ON, Canada

In Person

Category
Hardware Engineering (1)

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Requirements
  • 8+ years in hardware engineering with a track record of shipping consumer or wearable hardware at volume, including direct ownership of at least one full reliability ramp from prototype through mass production.
  • Broad systems engineering background — deep in at least two of embedded/firmware, electrical, mechanical, and optics, and fluent enough to lead and evaluate the rest.
  • Experience driving architecture convergence on complex consumer electronics and making cross-disciplinary trade-offs.
  • Experience owning a hardware quality bar and a DVT/reliability process that caught issues before mass production.
  • Experience leading cross-functional hardware teams and working closely with contract manufacturers, ideally in China.
Responsibilities
  • Lead the definition and convergence of the capture device's electrical, firmware, mechanical, and optical sub-systems into a single coherent platform, holding final technical authority on architectural trade-offs.
  • Set and own the quality and reliability bar for a body-worn device, and drive the test and design decisions that uphold it at scale.
  • Drive the product from prototype through EVT/DVT/PVT to mass production, partnering closely with industrial design, supply chain, and our China manufacturing and reliability teams.
  • Build, lead, and grow the hardware engineering team, and own the hiring roadmap behind it.
  • Own the feedback loop that turns field and factory data into design improvements.
  • Own the systems-level reliability challenges unique to a body-worn device — thermal, mechanical durability, connector and wear under all-day motion — and set the engineering approach the team executes against.
Desired Qualifications
  • Experience with body-worn or always-on devices (action cameras, wearables, AR/VR, health/fitness).
  • Background from a hardware org known for execution at scale (e.g. Meta Reality Labs, GoPro, DJI, Insta360, or a wearable startup that shipped in volume).
  • Experience with camera/optics systems and on-device compute, including ML workloads on edge hardware.

Mecka AI supplies large-scale, labeled human movement data to train AI and robotics systems. It records and analyzes videos of people performing targeted tasks, then delivers anonymized, richly annotated multimodal datasets that are ready for machine-learning models. The company coordinates a global network to collect data and provides end-to-end services from data collection to annotation and dataset curation, including a gig-economy model for participation. Its goal is to give AI developers and robotics teams fast access to high-quality movement data at scale to speed up autonomous-system development.

Company Size

51-200

Company Stage

Series A

Total Funding

$60M

Headquarters

Barbados

Founded

2025

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Simplify Jobs

Simplify's Take

What believers are saying

  • Expanded data collection across culinary, chemistry, and metal fabrication sectors broadens embodied AI applicability.
  • Raising $60 million in Series A funding enables scaling infrastructure and deploying robots commercially.
  • Switching to gamified daily quests replaces crypto tokenomics, increasing user retention and accessibility in gig data collection.

What critics are saying

  • Direct competition from Scale AI and Macrodata Labs threatens market share within 6 to 12 months.
  • Founder team lacks AI and robotics domain expertise, increasing execution risk for technical delivery.
  • First-person video approach may fail to outperform teleoperation methods, risking loss of partner 1x Technologies.

What makes Mecka AI unique

  • Mecka AI captures first-person human motion data via iPhones and body sensors for robotics training.
  • The company builds a data and deployment layer, acting as foundational infrastructure for physical AI.
  • Mecka integrates multimodal data including vision, touch, and sound to enable robots in unprepared environments.

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Growth & Insights

Headcount

6 month growth

17%

1 year growth

33%

2 year growth

33%