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Robotics Simulation Jobs in Quebec (NOW HIRING)

Robotics Engineer Location: Sherbrooke / Boston / Montreal / Ottawa Employment Type: Full-Time in a ... Rapid algorithm iteration - Prototype novel approaches quickly in simulation, apply structured ...

Sous la supervision du Chef d'équipe automatisme, le programmeur Robot - PLC - IHM effectue la programmation, la simulation, l'intégration et la mise en opération de robots/PLC/IHM dans une ...

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Sous la supervision du Chef d'équipe automatisme, le programmeur Robot - PLC - IHM effectue la programmation, la simulation, l'intégration et la mise en opération de robots/PLC/IHM dans une ...

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Le ou la programmeur(euse) SAV est également appelé(e) à contribuer à la programmation, la simulation, l'intégration et la mise en opération de robots/PLC/HMI dans une cellule robotisée chez ...

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Le ou la programmeur(euse) SAV est également appelé(e) à contribuer à la programmation, la simulation, l'intégration et la mise en opération de robots/PLC/HMI dans une cellule robotisée chez ...

New

Sélectionner, créer ou modifier un programme avec le robot et faire des simulations; Effectuer la métallisation de la pièce : lancer le programme machine, effectuer les contrôles intermédiaires ...

Sélectionner, créer ou modifier un programme avec le robot et faire des simulations; * Effectuer la métallisation de la pièce : lancer le programme machine, effectuer les contrôles ...

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Robotics Simulation information

What are the key skills and qualifications needed to thrive as a Robotics Simulation Engineer, and why are they important?

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What job categories do people searching Robotics Simulation jobs in Quebec look for? The top searched job categories for Robotics Simulation jobs in Quebec are:
Infographic showing various Robotics Simulation job openings in Quebec as of May 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 80% In-person, and 20% Hybrid job distribution.

Robotics Engineer

SB Quantum

Sherbrooke, QC • Hybrid

Full-time

Posted 16 days ago


Job description

Robotics Engineer

Location: Sherbrooke / Boston / Montreal / Ottawa
Employment Type: Full-Time in a fast-growing startup


About Us

SBQuantum is a seed-stage startup at the forefront of magnetic sensing innovation. Our vision is to unlock the full potential of magnetic intelligence through our proprietary quantum diamond technology and curated algorithms.


By combining diamond-based quantum sensors with advanced AI-driven software, we transform complex magnetic field data into actionable, high-value insights. Our solutions enable accurate magnetic mapping, navigation and object detection in environments where traditional sensing technologies-like GPS, radar, imagery, or sonar-cannot perform.


From public safety and defence to space exploration, our multidisciplinary team of engineers, physicists, and data scientists is redefining how the world perceives magnetic signals-turning invisible complexity into clear, useful intelligence.


Why Join Us

We're a fast-growing deeptech startup building multiple bricks for the future of magnetic navigation. This is a unique opportunity to:


  • Pioneer magnetic navigation algorithms based on inertial systems

  • Work directly with leadership on strategic and execution priorities

  • Deploy and test your solution on different platforms

  • Collaborate with world leading organizations in the PNT space

  • Have real ownership and impact in a high-growth, mission-driven environment


Who We're Looking For

We're looking for a proactive and hands-on person who thrives in building structure from the ground up and autonomous in making stuff happen. You bring a pragmatic, solution-oriented approach, with the autonomy and drive to move initiatives forward in a fast-paced environment. You're highly collaborative, able to work seamlessly across technical and non-technical teams and motivated by delivering meaningful impact through strong execution.


Key Responsibilities



  • INS filter design & tuning - Design, implement, and tune Kalman-based and hybrid filters (e.g. EKF, UKF) for inertial navigation systems, balancing convergence speed, noise rejection, and drift compensation across operational scenarios.

  • Magnetic navigation integration - Develop and refine sensor fusion algorithms that combine magnetometer data with IMU outputs, addressing magnetic anomaly mapping, hard/soft iron calibration, and geomagnetic model integration.

  • Hybrid systems architecture - Evaluate and iterate on hybrid navigation architectures (loosely-coupled, tightly-coupled, deeply-coupled), defining data flow, aiding source hierarchies, and fault-detection logic for robust multi-sensor operation.

  • Performance benchmarking & analysis - Define and run systematic benchmark suites against reference trajectories and truth data, tracking key metrics

  • Field testing & real-world validation - Plan and execute field trials across representative environments, capturing sensor logs, post-processing data, and closing the loop between lab simulation and real-world edge cases to drive algorithm refinement.

  • Rapid algorithm iteration - Prototype novel approaches quickly in simulation, apply structured tuning methodologies, and move promising candidates through hardware-in-the-loop testing with short iteration cycles from concept to validated result.

  • Critical system-level problem solving - Diagnose ambiguous failure modes across the full signal chain - from raw sensor data to navigation output - proposing unconventional solutions where standard approaches fall short and documenting findings to build team knowledge.



What We're Looking For


  • 5 years of experience in a startup environment

  • Background in robotics, including INS systems EKF filters tuning

  • Demonstrated experience customizing INS platforms with custom sensors
  • Experience with robotics control software such as MOSA, ASPN, PNTOS ArduPilot

  • Experience in autonomous platforms deployment

  • Comfortable wearing multiple hats and switching contexts quickly

  • Strong problem-solver with a bias toward action

  • Excellent communication skills (written and verbal)

  • High level of discretion and professionalism


Nice-to-Haves


  • Experience in deeptech, hardware, or scientific environments

  • Familiarity with compliance, grants, or government processes

  • Bilingual English/French


What We Offer


  • Flexible hybrid work environment

  • Opportunity to shape both the company and its culture

  • Equity

  • Growth opportunities as SBQuantum scales