Publié il y a 21 jours
Hardware, Calibration Engineer
@ Mecka
Richmond Hill, Ontario
En bref
Mecka is hiring a Hardware Calibration Engineer to build camera and camera-IMU calibration systems for robotics and embodied AI data collection. The role covers calibration algorithms through production, automated calibration stations, and detecting drift in deployed hardware. The posting asks for 5+ years of calibration or computer vision experience and is full-time.
Salaire :
160 000 $–200 000 $ par année
Responsabilités :
- Develop camera intrinsics, extrinsics, and camera-IMU calibration
- Build automated calibration stations and acceptance tests
- Validate accuracy on real hardware and diagnose errors
- Take calibration into production and improve yield
- Detect calibration drift and recalibrate devices in use
Résumé des exigences :
- 5+ years in camera calibration, computer vision, or robotics
- Strong understanding of camera models and nonlinear optimization
- Strong C++ and Python skills with OpenCV and Ceres
- Experience with fisheye cameras and camera-IMU alignment
- Experience building production calibration stations
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-10-18
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-20
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Génie |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Laboratoire, Usine |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Mecka
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Data Layer for AI Robotics
Description complète de l’entreprise
Mecka create large scale human data for AI and robotics training
- Abonnés LinkedIn
- 980
- Personnes associées sur LinkedIn
- 38
- Catégories d’activité
- Robotics
- Analytics
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Mecka
- Mecka AI
- Spécialités
- Robotics
- Artificial Intelligence
- and Data
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 68 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Mecka create large scale human data for AI and robotics training
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 2-10 employees |
| Type d’organisation | Privately Held |
| Spécialités | RoboticsArtificial Intelligenceand Data |
| Offres sur Jobsy | 33 |
| Voir la page |
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.
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.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.
We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.
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