Hardware, Calibration Engineer

Posted 8 Hours Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
160K-200K Annually
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
The Role
Develop and productionize camera and camera-IMU calibration systems for robotics hardware. Build automated calibration stations, implement calibration algorithms, validate accuracy on real hardware, diagnose errors, improve production yield and cycle time, and detect or correct calibration drift in deployed devices.
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.

About the Role

You will build the calibration systems that let Mecka capture the physical world accurately at scale. As our data collection grows, your work will make millions of observations useful for teaching robots how to move and interact with the world.

You will own camera and camera–IMU calibration from algorithms to production. Bring deep expertise in camera geometry, strong software skills, and the drive to turn precise laboratory results into reliable performance across a growing fleet of real hardware.

What You Will Do
  • Develop camera intrinsics, multi-camera extrinsics, and camera–IMU spatial and temporal calibration.

  • Build automated calibration stations, including capture software, targets, fixtures, and acceptance tests.

  • Validate accuracy on independent data and real hardware, and diagnose the causes of calibration errors.

  • Take calibration into production, improving accuracy, yield, and cycle time.

  • Detect calibration drift and develop practical methods for recalibrating devices in use.

Skills and Experience
  • 5+ years of experience in camera calibration, computer vision, or robotics, including hands-on delivery of calibration for production hardware.

  • Strong understanding of camera models, multi-view geometry, and nonlinear optimization; experience implementing calibration algorithms.

  • Strong C++ and Python skills, with practical use of OpenCV and optimization tools such as Ceres.

  • Experience with wide-angle or fisheye cameras, camera–IMU alignment, time offsets, and rolling-shutter effects.

  • Experience building production calibration stations and verifying accuracy beyond the calibration dataset.

Nice to Have
  • Experience with visual-inertial odometry, SLAM, or online recalibration.

About You
  • You are ambitious about what you build. You can point to results you personally delivered.

  • You care deeply about your craft, pursue difficult questions, and learn quickly.

  • You take initiative and own problems through to results. You work independently, make decisions, and bring others in when needed.

  • You communicate honestly. You own mistakes, share credit, and help the people around you succeed.

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

  • 5+ years of experience in camera calibration, computer vision, or robotics
  • Hands-on delivery of calibration systems for production hardware
  • Strong understanding of camera models, multi-view geometry, and nonlinear optimization
  • Experience implementing calibration algorithms
  • Strong C++ skills
  • Strong Python skills
  • Practical experience with OpenCV and optimization tools such as Ceres
  • Experience with wide-angle or fisheye cameras
  • Experience with camera-IMU alignment, time offsets, and rolling-shutter effects
  • Experience building production calibration stations and verifying accuracy beyond the calibration dataset
  • Experience with visual-inertial odometry, SLAM, or online recalibration
Am I A Good Fit?
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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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