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Application Engineer Robotics

Robotics Engineer (M.Eng.) with profound experience in autonomous systems, perception, sensor fusion, and control for mobile robots. Specialized in state estimation, MPC…

Usually within 24h (business days).
Anonymised profile – details after NDA/on request.
Application Engineer Robotics

Executive snapshot

  • Experience: Weniger als 1 Jahr (inkl. Masterarbeit)
  • Seniority: Berufseinsteiger mit Masterabschluss und erster relevanter Erfahrung
  • Work mode: Nicht angegeben
  • Availability: Nicht angegeben
  • Region: Deutschland / EU
  • Focus: Autonomous Systems, Robotics, Embedded / Electronics / Industrial Systems, Software

At a glance

Profile ID
DP-148890
Role
Robotics Engineer, Development Engineer for Autonomous Systems, Perception and Sensor Fusion Specialist
Seniority
Berufseinsteiger mit Masterabschluss und erster relevanter Erfahrung
Experience
Weniger als 1 Jahr (inkl. Masterarbeit)
Work mode
Nicht angegeben
Availability
Nicht angegeben
Region
Deutschland / EU
Languages
English: C1, German: B1
Engagement models
Festanstellung
Indicative rate
Nicht angegeben

Short profile

Robotics Engineer (M.Eng.) with profound experience in autonomous systems, perception, sensor fusion, and control for mobile robots. Specialized in state estimation, MPC, and probabilistic robotics (Kalman and particle filters). Proficient in C++, Python, ROS2, and Linux, with practical experience in the integration and validation of robotic systems under real-world conditions, particularly with LiDAR, stereo vision, IMU, GNSS, and odometry-based localization. Enthusiastic about autonomous driving and real-time robotic systems. A video introduction is already available.

Focus (domains)

Autonomous SystemsRoboticsEmbedded / Electronics / Industrial SystemsSoftware

Core skills

State EstimationMPCProbabilistic RoboticsSensor FusionPerceptionControl EngineeringSystem IntegrationvalidationReal-time RoboticsC++HardwarePythonSoftware

Tools & technologies

C++PythonROS2LinuxOpenCVLiDARStereo VisionIMUGNSSGazeboGitDockerCHardwareSoftwarevalidation

Track record & project highlights

Development of a real-time pipeline for stereo-LiDAR depth estimation for autonomous excavators; Implementation of octree-based projection of LiDAR point clouds to reduce depth ambiguities; Extension of the OpenCV stereo matching module with LiDAR disparity information; Execution of multi-camera-based extrinsic calibration and time synchronization; Integration of sensors, ECUs, and computing units for autonomous mobile robot platforms; Design and execution of functional tests in simulation and on real hardware.
Interested? We can share details quickly (NDA-ready) — just request the profile.