Robotics Systems Engineer: Hardware-Software Integrator

e2b; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Mecka AI in Toronto builds the physical systems researchers use to test what robots have learned, bringing together robots, sensors, and software for demonstrations, policy deployment, and repeatable experiments that teams can trust.

The role emphasizes precise calibration, hardware debugging, and a systematic approach to diagnosing failures across software, electronics, sensors, and mechanics, with opportunities to integrate perception models into running robotic systems.

Qualifications

• 3+ years hands-on robotics or mechatronics experience.
• Strong Python and C++ skills on Linux.
• Experience building, integrating, and debugging robotic systems.
• Understanding of kinematics, coordinate transforms, sensors, and time sync.
• Experience with robot interfaces, control loops, and software-hardware communication.
• Ability to integrate perception or ML models into robotic systems.
• Systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.

Responsibilities

• 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.

Skills

Robotics

Python

C++

Linux

Hardware integration

Sensor calibration

Transforms

System debugging

Tools

Linux

Job description

Mecka AI in Toronto builds the physical systems researchers use to test what robots have learned, bringing together robots, sensors, and software for demonstrations, policy deployment, and repeatable experiments that teams can trust.

The role emphasizes precise calibration, hardware debugging, and a systematic approach to diagnosing failures across software, electronics, sensors, and mechanics, with opportunities to integrate perception models into running robotic systems.