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Robotics Engineer

SBQuantum

Job Location:

Sherbrooke - Canada

Monthly Salary: Not provided by the employer

Posted: 18 May 2026 (30+ days ago)

Application Deadline: 7 September 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

Robotics Engineer

Location: Sherbrooke / Boston / Montréal / 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 technologieslike GPS radar imagery or sonarcannot 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 signalsturning invisible complexity into clear useful intelligence.

Why Join Us

Were 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 Were Looking For

Were 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. Youre 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 Were Looking For