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Mid / Senior SLAM Engineer(m/w/x)
Beschreibung
As a SLAM Engineer, you will focus on designing and deploying cutting-edge localization and mapping systems for autonomous construction machines, collaborating with experts to ensure optimal performance and reliability.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
- Gravis RoboticsVollzeitPraktikumnur vor OrtZürich
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Mid / Senior SLAM Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
As a SLAM Engineer, you will focus on designing and deploying cutting-edge localization and mapping systems for autonomous construction machines, collaborating with experts to ensure optimal performance and reliability.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
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
Ausbildung
Berufserfahrung
3 Jahre
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
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Über das Unternehmen
Gravis Robotics
Branche
Construction
Beschreibung
Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.
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