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State Estimation Engineer

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Sensmore GmbH

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Location:
Germany , Potsdam ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a State Estimation Engineer, you will design, implement, and deploy robust state estimation systems that enable autonomous heavy machinery to perceive, localize, and operate reliably in harsh, unstructured environments. You will work at the intersection of robotics, perception, and control, turning noisy multi-sensor data into accurate, real-time estimates of vehicle state.

Job Responsibility:

  • Design and implement state estimation pipelines for autonomous machines, including pose, velocity, and system state estimation
  • Fuse data from multiple sensors (e.g. LiDAR, Radar, cameras, IMUs, GNSS, wheel odometry) 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 to partial sensor dropout and degraded conditions
  • Integrate state estimation modules with perception, planning, and control stacks
  • Validate and benchmark estimation performance using simulation, logged datasets, and real-world field tests
  • Support on-machine deployment and debugging, including tuning estimators in production environments
  • Collaborate closely with robotics software, perception, and controls engineers to ensure system-level performance

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 (e.g. Kalman Filters, particle filters, SLAM back-ends)
  • Experience working with real robotic sensor data and understanding its limitations in the field
  • Proficiency in C++ and/or Python for robotics software development
  • Familiarity with ROS / ROS2 or similar robotic middleware
  • Strong debugging and analytical skills, with the ability to reason about system-level failures

Nice to have:

  • Experience in off-road, mining, construction, or agricultural robotics
  • Knowledge of SLAM, localization, and mapping in GPS-denied or degraded environments
  • Familiarity with factor graph libraries (e.g. GTSAM, Ceres) or similar optimization tools
  • Understanding of vehicle dynamics and integration with control systems
  • Experience validating robotics systems through simulation, HIL, and field testing
  • Comfort working across the full stack—from theory and algorithms to on-machine deployment
What we offer:
  • 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

Additional Information:

Job Posted:
January 09, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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