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Added 6 mins ago
ASICS Design Verification Engineer - Multiple levels
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Full-time
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Robotics Engineer
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AICS Design Verification Engineer- Multiple levels
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Full-time
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SBQuantum

Robotics Engineer

Sherbrooke, QC, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Experience: 5 years of experience in a startup environment
Posting language: English
Posted: Sep 30, 2026

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Original job description

Robotics Engineer

Location: Sherbrooke

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

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More about this job

Responsibilities

Design, implement, and tune inertial navigation filters and magnetic sensor-fusion algorithms, and develop robust hybrid navigation architectures. Benchmark and validate algorithms through simulation, hardware-in-the-loop testing, and field trials, while diagnosing system-level failures and documenting findings.

Requirements

The role seeks at least five years of experience in a startup environment, a robotics background with INS and EKF tuning experience, and experience customizing INS platforms with custom sensors. Candidates should have experience with robotics control software or platforms such as MOSA, ASPN, PNTOS, or ArduPilot, and be adaptable, collaborative, and strong problem-solvers.

Skills

Inertial Navigation Systems
Kalman Filtering
Extended Kalman Filters
Unscented Kalman Filters
Sensor Fusion
Magnetic Navigation
Magnetometer Calibration
IMU Integration
Hybrid Navigation Architectures
Robotics
Performance Benchmarking
Field Testing
Hardware-in-the-Loop Testing
Fault Detection
Problem Solving

Benefits

Equity
Growth Opportunities
Flexible Hybrid Work Environment

Visa sponsorship

Not detected in the job text

Keywords

Inertial Navigation Systems
INS
Kalman Filters
EKF
UKF
Sensor Fusion
Magnetic Navigation
Magnetometers
IMU
Magnetic Anomaly Mapping
Hard-Iron Calibration
Soft-Iron Calibration
Geomagnetic Models
Loosely Coupled Navigation
Tightly Coupled Navigation
Deeply Coupled Navigation
Fault Detection
Performance Benchmarking
Reference Trajectories
Field Trials
Simulation
Hardware-in-the-Loop Testing
Robotics
Autonomous Platforms
MOSA
ASPN
PNTOS
ArduPilot
Quantum Sensors
Magnetic Sensing

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