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Mid / Senior SLAM Engineer(m/w/x)
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
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Mid / Senior SLAM Engineer(m/w/x)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •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
Education
Work Experience
3 years
Tasks
- •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 & Technologies
Languages
English – Business Fluent
About the Company
Gravis Robotics
Industry
Construction
Description
Gravis Robotics is a startup that turns heavy construction machines into intelligent and autonomous robots.
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