Roboticist (Execution & Deployment)

Department: Hardware

Location: Toronto

Employment Type: FullTime

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

We design, deploy, and operate real-world robotic systems to generate high-quality datasets used to train and evaluate next-generation robotics and embodied AI models. Our robots operate in unstructured, real-world environments, where reliability and execution matter more than clean simulations.

The Role

We’re hiring a Roboticist with a strong bias toward execution and deployment.

This is not a theoretical research role. This is a “make it work in the wild” role. You will take high-level models, perception pipelines, and navigation policies and deploy them onto physical robots. Your job is to close the gap between simulation and reality, ensuring robots can navigate, manipulate, and collect data autonomously in real environments.

You’ll spend time debugging in the lab and on-site, diagnosing failures, and building systems that keep running even when things go wrong.

What You’ll Work On

System Integration

• Integrate Vision-Language-Action (VLA) models, perception pipelines, and control policies into a cohesive robotic stack

• Write the glue code that translates model inference into physical motor actions

• Ensure models run reliably and predictably on real hardware

Navigation & Control

• Implement, tune, and maintain:

  • SLAM

  • Localization

  • Path planning

  • Obstacle avoidance

• Ensure smooth and intelligent robot motion in dynamic, human environments

Field Reliability & Autonomy

• Build resilient, self-healing systems

• Develop watchdogs, automated calibration routines, and error-handling logic

• Enable robots to recover from common failures without human intervention

Real-World Debugging & Deployment

• Debug robots in the lab and in real deployment environments

• Diagnose issues such as:

  • Failed docking or navigation

  • Sensor drift or misalignment

  • Policy failures or hallucinations

• Identify root causes across software, sensors, and hardware — and fix them

Who You Are

Required Technical Experience

• Strong software engineering skills in Python and C++

• Experience writing production-grade code for robotic systems

• Comfortable working in Linux environments (processes, networking, system configuration)

Robotics Fundamentals

• Solid understanding of:

  • Coordinate transforms (TF)

  • Kinematics

  • PID control

  • State estimation

• Experience working with real robotic systems outside of simulation

Middleware & Systems

• Experience with pub/sub and message-passing systems such as:

  • ROS / ROS2

  • DDS

  • ZMQ

  • Or custom messaging stacks

• Tool-agnostic mindset — you understand the concepts, not just the framework

Debugging & Execution Mindset

• Systematic approach to debugging electro-mechanical systems

• Ability to isolate failures across:

  • Software

  • Sensors

  • Networking

  • Hardware

• Comfortable getting hands-on when things break

Why This Role

• Work directly on real robots operating in the physical world

• Own deployment, reliability, and execution — not just models

• Solve hard, messy problems at the boundary of software and hardware

• High ownership and autonomy in a fast-moving environment

• See your work directly impact data quality and system performance