Hardware, Robotics Systems Engineer

Kindredventures; Toronto; Vor Ort; CAD 90.000 - 140.000; Vollzeit

Zusammenfassung

Mecka AI is building the data infrastructure layer for robotics and embodied AI, enabling data capture, labeling, and hardware-enabled workflows for leading AI labs. You will own integrated systems for demonstrations, policy deployment, and repeatable evaluation, applying robotics software, controls, and debugging to produce trustworthy results on real hardware.

You will work with researchers to develop pipelines, calibrate sensors, and deploy perception models, ensuring reliability and clear

Qualifikationen

• 3+ years hands-on experience in robotics, mechatronics or related engineering field.
• Strong Python and C++ skills with practical Linux experience.
• Hands-on experience building, integrating, and debugging robotics systems.
• Solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.
• Experience with robot interfaces, control loops, and hardware-software communication.
• Ability to integrate perception or machine-learning models into a running robotic system.

Aufgaben

• Integrate robotics hardware and software for data collection and repeatable experiments.
• Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.
• Deploy perception models and learned policies on robots, and investigate performance on real tasks.
• Build recording, teleoperation, and evaluation workflows with researchers.
• Improve reliability through hardware debugging, software enhancements, and clear recovery procedures.

Kenntnisse

Python

C++

Linux

Robotics

Kinematics

Sensor calibration

Time synchronization

Robot interfaces

Control loops

Perception integration

Jobbeschreibung

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 robot systems that show what Mecka's data enables robots to do. Turning recorded experience into useful physical capability requires experiments that work on real hardware and produce results we can trust.

You will own integrated systems for demonstrations, policy deployment, and repeatable evaluation. Bring strong robotics software, controls, and hardware debugging skills to make the complete system work, distinguish policy limitations from system faults, and give researchers reliable evidence for improving the data and the models trained on it.

What You'll Do

• Integrate robotics hardware and software for data collection and repeatable experiments.

• Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.

• Deploy perception models and learned policies on robots, and investigate how they perform on real tasks.

• Build recording, teleoperation, and evaluation workflows with our robot-learning researchers.

• Make systems more reliable through hardware debugging, software improvements, and clear recovery procedures.

What You Bring

• 3+ years of hands-on experience in robotics, mechatronics, or a closely related engineering field.

• Strong Python and C++ skills, with practical experience developing on Linux.

• Hands-on experience building, integrating, and debugging robotics or mechatronic systems.

• A solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.

• Experience with robot interfaces, control loops, and communication between software and physical hardware.

• Ability to integrate perception or machine-learning models into a running robotic system.

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.

Inclusive Hiring at Mecka

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%.

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.