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Mid / Senior SLAM Engineer(m/w/x)
Designing and deploying advanced localization and mapping systems for autonomous heavy construction machines at a robotics startup. Master's/PhD and 3+ years developing robust localization algorithms required. Prototyping real-time calibration systems; Lidar-Inertial-Visual data integration.
Anforderungen
- Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering, or related field
- 3+ years of experience in developing and implementing robust localization and mapping algorithms
- Experience writing production-quality C++/Python code in a Linux development environment
- Experience with building/refining SLAM frameworks using Lidar-Inertial-Visual data
- Risk management skills with ability to re-prioritize work packages and meet deadlines in a fast-paced work environment
- Excellent communication skills with ability to convey technical concepts to technical and non-technical stakeholders
- Experience with RADAR and GPS/GNSS integration into SLAM systems
- Experience with ROS2
- Proficiency in English
Aufgaben
- Design advanced localization and mapping systems
- Prototype real-time calibration systems
- Deploy systems for autonomous heavy machines
- Utilize lidar, inertial, visual, and GPS data
- Establish testing procedures for system performance
- Optimize performance metrics for robust behavior
- Collaborate with multidisciplinary experts to enhance system reliability
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- Linux
- Lidar
- GPS
- GNSS
- ROS2
Noch nicht perfekt?
- Gravis RoboticsVollzeitnur vor OrtBerufserfahrenZürich
- Intrinsic
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Computer Vision / 3D Perception Internship(m/w/x)
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R&D Team Lead - Robotic Software Engineering(m/w/x)
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Mid / Senior SLAM Engineer(m/w/x)
Designing and deploying advanced localization and mapping systems for autonomous heavy construction machines at a robotics startup. Master's/PhD and 3+ years developing robust localization algorithms required. Prototyping real-time calibration systems; Lidar-Inertial-Visual data integration.
Anforderungen
- Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering, or related field
- 3+ years of experience in developing and implementing robust localization and mapping algorithms
- Experience writing production-quality C++/Python code in a Linux development environment
- Experience with building/refining SLAM frameworks using Lidar-Inertial-Visual data
- Risk management skills with ability to re-prioritize work packages and meet deadlines in a fast-paced work environment
- Excellent communication skills with ability to convey technical concepts to technical and non-technical stakeholders
- Experience with RADAR and GPS/GNSS integration into SLAM systems
- Experience with ROS2
- Proficiency in English
Aufgaben
- Design advanced localization and mapping systems
- Prototype real-time calibration systems
- Deploy systems for autonomous heavy machines
- Utilize lidar, inertial, visual, and GPS data
- Establish testing procedures for system performance
- Optimize performance metrics for robust behavior
- Collaborate with multidisciplinary experts to enhance system reliability
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- C++
- Python
- Linux
- Lidar
- GPS
- GNSS
- ROS2
Über das Unternehmen
Gravis Robotics
Branche
Construction
Beschreibung
Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.
Noch nicht perfekt?
- Gravis Robotics
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Computer Vision / 3D Perception Internship(m/w/x)
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