Qualifications
Key ResponsibilitiesDesigning State Estimation Systems: Create robust pipelines for real-time estimation of vehicle motion states (velocity, angular velocity, and position). Multi-Sensor Fusion: Integrate data from various sensors, including LiDAR, IMUs, GNSS, and wheel odometry, utilizing probabilistic estimation frameworks. Estimator Development: Develop and maintain filter-based or optimization-based estimators, such as EKF, UKF, and factor graph methods. System Integration and Validation: Integrate estimation modules with robotics stacks and validate their performance through simulation, logs, and real-world tests. Required QualificationsExperience in Robotics State Estimation: Practical experience in implementing state estimation algorithms, including Kalman filters, optimization-based estimators, or particle filters. Multi-Sensor Robotics Systems: Proven experience in estimating vehicle motion by integrating data from multiple robotic sensors. Robotics Software Development: Proficient programming skills in C++ and/or Python, ideally within ROS/ROS2 environments. Analytical and Debugging Skills: Excellent problem-solving capabilities to diagnose estimation failures and analyze system-level robotics behavior.
About the job
At sensmore, we are pioneering the automation of the world's largest machines with groundbreaking intelligence. Our unique Physical AI technology empowers heavy machinery, such as wheel loaders, to seamlessly adapt to ever-changing environments and undertake new tasks without the need for prior training.
By integrating state-of-the-art robotics into our innovative platform, we are driving the development of intelligence and automation products that enhance productivity and safety across the mining, construction, and related industries.
Join our team and become a key player in reshaping the automation landscape within heavy industries.
Role Overview
As our State Estimation Engineer, you will be responsible for the design and implementation of reliable, fail-safe state estimation systems that allow autonomous heavy machinery to accurately assess velocity, angular velocities, and local positioning in challenging, unstructured environments.
You will operate at the convergence of robotics, perception, and control, converting noisy multi-sensor information (including wheel odometry, LiDAR, radar, IMU, and GNSS) into precise real-time estimates of the vehicle’s three-dimensional state.
About sensmore
At sensmore, we are redefining the capabilities of heavy machinery through advanced automation technologies. Our innovative Physical AI solutions empower machines to adapt and perform in dynamic environments, making significant strides in productivity and safety for industries such as mining and construction.
