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Added 21 mins ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics…
Added 21 mins ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 21 mins ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data,…
Added 21 mins ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 4 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 7 hours ago
ASIC Design Engineer, Low Power Audio AI Subsystems
Qualcomm
Markham, ON
Full-time
We are looking for an ASIC Design Engineer that will work with industry leading edge HW Design technology and processes and provide expertise for next generation initiatives. As a leader in…
Added 7 hours ago
Embedded Software Engineer (C/C++), Machine Learning
Qualcomm
Markham, ON
Full-time
Added 7 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 8 hours ago
AI Model, Framework, and GPU Software Engineer – Agentic AI
Advanced Micro Devices, Inc
Markham, ON
Full-time
You are a strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration. You are comfortable learning…
Added 8 hours ago
Silicon Design Engineer (1 year contract starting asap)
Advanced Micro Devices, Inc
Markham, ON
Temporary
Added 10 hours ago
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 11 hours ago
Silicon Design Engineer (1 year contract starting asap)
AMD
Markham, ON
$91,200 to $136,800 USD / year
Full-time
Added 11 hours ago
AI Model, Framework, and GPU Software Engineer – Agentic AI
AMD
Markham, ON
$132,000 to $198,000 USD / year
Full-time
You are a strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration. You are comfortable learning…
Added 12 hours ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Added 13 hours ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Added 13 hours ago
Computer Vision Engineer, 3D
Mecka
Richmond Hill, ON
$200,000 to $230,000 CAD / year
Full-time
We're looking for a strong, coding-heavy computer vision engineer to own the classical side of our stack. Our models produce raw per-frame predictions; you own the traditional computer…
Added 14 hours ago
OBSERVABILITY ENGINEER
Apptoza Inc.
Halifax, NS
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You’ll own the complete observability…
Added 14 hours ago
Senior Data Engineer
Quandri
Vancouver, BC
Added 14 hours ago
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Added 14 hours ago
Online Calibration & SLAM Engineer
Mecka
Richmond Hill, ON
$200,000 to $230,000 CAD / year
Full-time
We're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp,…
Added 15 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 17 hours ago
AI Developer – AI/ML, Python, LangChain, RAG, NLP LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
What is the opportunity? The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional…
Added 17 hours ago
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
Full-time
As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 17 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 17 hours ago
Observability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
Full-time
Observability Engineer | Kubernetes, Prometheus, Grafana, Thanos, Loki

Mecka

Online Calibration & SLAM Engineer

Richmond Hill, ON, Canada

Pay: $200,000 to $230,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

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Original job description

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
We're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp, so a device that shipped in spec can fall out of it. You'll build the systems that catch and correct that drift: online (in-pipeline) camera calibration, video-based calibration refinement, fleet-wide drift monitoring, and the tools operations and researchers use to track it, all built on solid SLAM/VIO foundations.

This is a production role, not pure research: you'll own systems that run across the real fleet. You'll work directly with the CVML team and coordinate with our factory-calibration engineer and hardware team. Because the work runs on real, hardware-synced recordings and is validated on physical devices, this is an on-site role with periodic travel to our hardware site.

What you'll do

Own online calibration: Develop and maintain continuous, in-pipeline camera calibration that refines extrinsics from recorded, hardware-synced, uncompressed video and IMU - the pipeline equivalent of on-device calibration, so fixes ship without a device software update.
Rebuild video-based calibration: Fix and harden the video-based calibration refinement system across the fleet, including the monocular wrist-cam path, and drive it against real benchmarks.
Monitor the fleet: Build the monitoring and metrics tracking that detects calibration drift across every device, flags devices for recall, and owns the calibration database and version history.
Make SLAM carry calibration: Maintain and improve the SLAM/VIO that online calibration rides on, and have it emit calibration-related error as a first-class output.
Bridge to hardware: Coordinate with the factory-calibration engineer and the China hardware team on the intrinsics limit (online refinement fixes extrinsics; intrinsics need a marker at the factory), IMU noise and bias parameters, temporal synchronization, and validation runs that avoid local minima.
Build the tooling: Ship interactive tools (Rerun / Gradio) that visualize trajectories, drift over time, reprojection error, and per-device calibration metrics for operations and researchers.

What You Bring Must-have:

SLAM / VIO / SfM depth: 5+ years of hands-on experience building, maintaining, or improving SLAM, visual-inertial odometry, and Structure-from-Motion pipelines, including systems running in production.
Continuous and multi-sensor calibration: Hands-on experience with online or continuous calibration and rigorous camera + IMU calibration: extrinsics, intrinsics and their limits, IMU noise density and random-walk bias, lens-distortion models, and temporal synchronization.
Fleet and data-quality mindset: You're comfortable owning calibration across many noisy, real-world devices, and you build the monitoring that catches drift before customers do.
Multi-view geometry and optimization: An intuitive grasp of the linear algebra, optimization, and first principles behind spatial tracking.
Engineering rigor: Clean, efficient, scalable C++ and Python.
Cross-border collaboration: You can specify calibration requirements clearly to a hardware team across time zones.

Nice-to-have:

Markerless calibration: Experience with video-based or markerless calibration and refinement systems.
Calibration frameworks: Sensor-fusion and calibration tools such as Kalibr, GTSAM, or Ceres Solver.
3D vision and ML libraries: OpenCV, COLMAP, PyTorch, and FFmpeg.
Fleet observability: Monitoring at scale, including calibration databases and versioning.
Spatial tooling: Rerun, Gradio dashboards, or trajectory and dataset browsers.
Scale: ML infrastructure or data pipelines that operate at scale.

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.

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More about this job

Responsibilities

You will own the online calibration systems for a fleet of robotics devices, ensuring camera and IMU accuracy through continuous refinement. You will also build monitoring tools to detect calibration drift and coordinate with hardware teams to maintain system integrity.

Requirements

Candidates must have 5+ years of hands-on experience with SLAM, VIO, and SfM pipelines in a production environment. Proficiency in C++ and Python, along with a deep understanding of multi-view geometry and sensor calibration, is required.

Skills

SLAM
VIO
SfM
Camera calibration
IMU calibration
C++
Python
Multi-view geometry
Optimization
Visual-inertial odometry
Sensor fusion
Kalibr
GTSAM
Ceres Solver
OpenCV
PyTorch

Benefits

Equity
Health and wellness benefits

Visa sponsorship

Not detected in the job text

Keywords

SLAM
VIO
SfM
Camera Calibration
IMU
Extrinsics
Intrinsics
C++
Python
Kalibr
GTSAM
Ceres Solver
OpenCV
COLMAP
PyTorch
FFmpeg
Rerun
Gradio
Robotics
Embodied AI
Data Infrastructure
Fleet Monitoring
Linear Algebra
Optimization
Temporal Synchronization
Lens-distortion Models
Hardware-synced
Machine Learning
3D Vision
Data Pipelines

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