Robotics State Estimation Engineer

sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials are extracted, moved, and processed. Its automation system transforms heavy machines into intelligent, automated robots powered by Physical AI and vertically integrates them into the full production environment: from the machine and safety infrastructure to network infrastructure, site processes, and operational interfaces. Co-developed with customers, sensmore is backed by Point Nine Capital, leading industry investors, the State of Brandenburg, and the European Union. As a State Estimation Engineer, you will design and deploy robust, fail-safe state estimation systems that enable autonomous heavy machinery to reliably estimate velocity, angular velocities, and local position in harsh, unstructured environments. You will work at the intersection of robotics, perception, and control, transforming noisy multi-sensor data (wheel odometry, LiDAR, radar, IMU, GNSS) into accurate real-time estimates of the vehicle’s 3D state.

Responsibilities

Design state estimation systems: develop robust pipelines that estimate vehicle motion states (velocity, angular velocity, and position) in real time.; Multi-sensor fusion: fuse data from sensors such as LiDAR, IMUs, GNSS, and wheel odometry using probabilistic estimation frameworks.; Estimator development: implement and maintain filter-based or optimization-based estimators (e.g. EKF, UKF, factor graph methods).; System integration and validation: integrate estimation modules with robotics stacks and validate performance using simulation, logs, and real-world testing.

Requirements

Robotics state estimation experience: hands-on experience implementing state estimation algorithms such as Kalman filters, optimization-based estimators, or particle filters.; Multi-sensor robotics systems: experience estimating vehicle motion by fusing data from multiple robotic sensors.; Robotics software development: strong programming skills in C++ and/or Python, ideally within ROS/ROS2 environments.; Strong analytical and debugging skills: ability to diagnose estimation failures and reason about system-level robotics behavior.

Nice to have

Experience in autonomous vehicles, robotics, or off-road systems (mining, construction, agriculture); Knowledge of SLAM, localization, or factor-graph frameworks (e.g. GTSAM, Ceres); Understanding of vehicle dynamics and control integration; Experience validating robotics systems through simulation and field testing

Benefits

Attractive compensation package and stock options; Beverages on-site and regular social events; Engage with top-tier researchers, engineers, and thought leaders; Influence the future of robotic technologies and tackle significant technological challenges; Assistance with relocation to Berlin