Mechanical Engineer

Posted Yesterday
Be an Early Applicant
Toronto, ON, CAN
In-Office
140K-160K Annually
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Designs mechanical systems and assemblies for robotics data-capture hardware, taking components from CAD through prototyping, testing, supplier feedback, and field validation. Responsibilities include tolerance and load analysis, sensor alignment, electronics packaging, thermal management, cable routing, serviceability, manufacturing optimization, and reliability improvement. Requires hands-on prototype development, physical testing, engineering drawings, supplier collaboration, and knowledge of materials, fasteners, dimensional inspection, and manufacturing processes.
Summary Generated by Built In
About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

The Role
You'll carry mechanical parts and assemblies from CAD through prototype testing and supplier feedback. Accurate recording outside the lab depends on hardware that holds sensors in alignment, survives repeated use, stays comfortable, and manages heat, and you'll turn those requirements into designs that can be built, maintained, and used in the field. Your work will shape how Mecka's capture systems perform in people's hands.

What You'll Do

  • Design mechanical systems that support accurate recording and can be assembled, maintained, and manufactured efficiently.

  • Build and test prototypes to improve fit, weight distribution, stiffness, and ease of use.

  • Analyze tolerances, loads, and sensor alignment, and validate key assumptions with physical measurements.

  • Partner with electrical and sensor engineers on packaging, thermal paths, cable routing, and service access.

  • Review parts with suppliers and refine designs using assembly results, reliability testing, and field feedback.

What You Bring

Must-have:

  • 3–4 years of experience in mechanical engineering.

  • Proficiency in 3D CAD (e.g., SolidWorks or Onshape) and the ability to produce clear engineering drawings.

  • Solid understanding of mechanics, materials, tolerances, fits, fasteners, and dimensional inspection.

  • Hands-on experience building prototypes and testing physical assemblies.

  • Knowledge of manufacturing processes such as machining, molding, sheet metal, or additive manufacturing.

  • Ability to package electronics and sensors with assembly, thermal behavior, and maintenance in mind.

  • Experience working with suppliers to resolve part quality, manufacturability, and cost issues.

Nice-to-have:

  • Experience with wearable products, robot end effectors, handheld mechanisms, or precision sensor mounts.

  • Experience with flexible materials, thermal analysis, or fatigue and durability testing.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.
Inclusive Hiring at Mecka

We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.

Use of Artificial Intelligence in Recruitment

Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.

Skills Required

  • 3-4 years of mechanical engineering experience
  • Proficiency in 3D CAD, such as SolidWorks or Onshape
  • Ability to produce clear engineering drawings
  • Understanding of mechanics, materials, tolerances, fits, fasteners, and dimensional inspection
  • Hands-on experience building prototypes and testing physical assemblies
  • Knowledge of machining, molding, sheet metal, or additive manufacturing
  • Ability to package electronics and sensors considering assembly, thermal behavior, and maintenance
  • Experience working with suppliers on part quality, manufacturability, and cost issues
  • Experience with wearable products, robot end effectors, handheld mechanisms, or precision sensor mounts
  • Experience with flexible materials, thermal analysis, or fatigue and durability testing
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The Company
58 Employees
Year Founded: 2024

What We Do

Mecka AI is a data and infrastructure company that provides high-quality human movement data to accelerate the development of autonomous systems for humanoid robotics. It serves as the data and deployment layer for physical AI, capturing, structuring, and evaluating real-world activity to create labeled datasets that enable robots to learn and deploy reliably in commercial settings.

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