Sensmore

4 months ago

Robotics State Estimation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Role focused on designing, implementing, and deploying robust state estimation systems for autonomous heavy machinery. You will fuse multi-sensor data (LiDAR, radar, cameras, GNSS when available) and develop filter-based and optimization-based estimators to estimate velocity, position, and angular rates, enabling reliable perception, localization, and control in harsh environments.

Location: Berlin, Potsdam

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and implement state estimation pipelines for autonomous machines, including robust and fail-safe estimation of local position, velocity, angular velocities.
•Fuse data from multiple sensors (e.g. wheel odometry, LiDAR, radar, IMUs, GNSS, cameras) using probabilistic frameworks.
•Develop and maintain filter-based and optimization-based estimators (e.g. EKF/UKF, factor graphs, smoothing).
•Model sensor noise, biases, and failure modes; design estimators robust and fail-safe to partial sensor dropout and degraded conditions.
•Collaborate closely with robotics software, SLAM/localization, perception, and controls engineers to ensure system-level performance.

Pay and Benefits

Perks:EquityRelocation

Key Requirements

•Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
•Hands-on experience with state estimation algorithms such as Kalman Filters (e.g. EKF), optimization based methods (e.g. with GTSAM, Ceres, g2o) or particle filters.
•Familiarity with typical LiDAR odometry algorithms and libraries.
•Experience estimating vehicle motion states (e.g. velocity, position, angular rates) by fusing multiple real robotic sensors, and understanding their limitations in the field.
•Proficiency in C++ and/or Python for robotics software development.

Experience:RoboticsAutonomous systemsHeavy machinery

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkAnalytical thinking

Tech Stack:Kalman FiltersEKFUKFGTSAMCeresG2oLiDARGNSSROSROS2C++PythonSensor fusionSLAM

Company Brief

Sensmore

Develops AI-driven acoustic sensing and anomaly-detection solutions for industrial equipment. Uses edge audio sensors and machine learning to monitor machinery, detect faults early, and enable predictive maintenance to reduce downtime and maintenance costs.

Industry: Industrial Automation

Website

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Sensmore

4 months ago

Robotics State Estimation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Berlin, Potsdam

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and implement state estimation pipelines for autonomous machines, including robust and fail-safe estimation of local position, velocity, angular velocities.
•Fuse data from multiple sensors (e.g. wheel odometry, LiDAR, radar, IMUs, GNSS, cameras) using probabilistic frameworks.
•Develop and maintain filter-based and optimization-based estimators (e.g. EKF/UKF, factor graphs, smoothing).
•Model sensor noise, biases, and failure modes; design estimators robust and fail-safe to partial sensor dropout and degraded conditions.
•Collaborate closely with robotics software, SLAM/localization, perception, and controls engineers to ensure system-level performance.

Pay and Benefits

Perks:EquityRelocation

Key Requirements

•Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
•Hands-on experience with state estimation algorithms such as Kalman Filters (e.g. EKF), optimization based methods (e.g. with GTSAM, Ceres, g2o) or particle filters.
•Familiarity with typical LiDAR odometry algorithms and libraries.
•Experience estimating vehicle motion states (e.g. velocity, position, angular rates) by fusing multiple real robotic sensors, and understanding their limitations in the field.
•Proficiency in C++ and/or Python for robotics software development.

Experience:RoboticsAutonomous systemsHeavy machinery

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkAnalytical thinking

Tech Stack:Kalman FiltersEKFUKFGTSAMCeresG2oLiDARGNSSROSROS2C++PythonSensor fusionSLAM

Company Brief

Sensmore

Industry: Industrial Automation

Website