Trimble
GNSS R&D Engineer(m/w/x)
Full-timeOn-siteExperienced
Höhenkirchen-Siegertsbrunn, Hohenkirchen
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TRTrimble
Multi-Sensor SLAM Fusion Navigation SW Engineer(m/w/x)
Höhenkirchen-Siegertsbrunn
Full-timeOn-siteExperienced
Nejo AI Summary
Designing multi-modal navigation software architectures with LiDAR and camera sensors for embedded systems in transportation platforms. Experience developing and deploying SLAM algorithms with C++ production code for real-time embedded systems required. Hybrid work, flexible hours.
Requirements
- Master's degree in Navigation, Aerospace, Robotics, Geodesy, or related engineering disciplines
- Experience developing and deploying SLAM algorithms
- Experience developing C++ production code for real-time embedded systems
- Strong analytical, problem-solving, and mathematical skills
- Experience in Matlab, Python or a comparable language
- Excellent communication skills and English proficiency
- Ability to work effectively in teams with minimal supervision
- Experience processing visual sensor data from LiDAR and cameras
- Hands-on experience with optical sensors
- Background in inertial sensing, AINS, Odometry, sensor fusion, or GNSS
- Experience with quality assurance and navigation system field applications
- Familiarity with Jira or similar issue-tracking software
- Willingness to apply even if only meeting some requirements
Tasks
- Design sustainable multi-modal SLAM software architectures
- Develop algorithms using LiDAR and camera sensors
- Implement real-time C++ code on embedded systems
- Test and verify algorithm performance
- Define component-level interface requirements
- Collaborate with teams to integrate software components
- Manage the codebase and software releases
- Perform code reviews for peer developers
- Analyze and visualize data using Matlab or Python
- Develop algorithms within Matlab or Python environments
- Document innovations for IP protection and patents
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SLAM
- C++
- Matlab
- Python
- LiDAR
- cameras
- optical sensors
- Inertial sensing
- AINS
- Visual (-Inertial) Odometry
- Lidar (-Inertial Odometry)
- sensor fusion
- GNSS
- Jira
Benefits
Flexible Working
- Hybrid job profile
- Flexible working hours
Job Security
- Long-term, secure position
Competitive Pay
- Equitable compensation
Diverse Work
- Cutting-edge technology projects
Informal Culture
- Happy work culture
- International team
Other Benefits
- Application accommodation assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Trimble and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Trimble
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Full-timeOn-siteSeniorMünchen, Berlin
TRTrimble
Multi-Sensor SLAM Fusion Navigation SW Engineer(m/w/x)
Höhenkirchen-Siegertsbrunn
Full-timeOn-siteExperienced
Nejo AI Summary
Designing multi-modal navigation software architectures with LiDAR and camera sensors for embedded systems in transportation platforms. Experience developing and deploying SLAM algorithms with C++ production code for real-time embedded systems required. Hybrid work, flexible hours.
Requirements
- Master's degree in Navigation, Aerospace, Robotics, Geodesy, or related engineering disciplines
- Experience developing and deploying SLAM algorithms
- Experience developing C++ production code for real-time embedded systems
- Strong analytical, problem-solving, and mathematical skills
- Experience in Matlab, Python or a comparable language
- Excellent communication skills and English proficiency
- Ability to work effectively in teams with minimal supervision
- Experience processing visual sensor data from LiDAR and cameras
- Hands-on experience with optical sensors
- Background in inertial sensing, AINS, Odometry, sensor fusion, or GNSS
- Experience with quality assurance and navigation system field applications
- Familiarity with Jira or similar issue-tracking software
- Willingness to apply even if only meeting some requirements
Tasks
- Design sustainable multi-modal SLAM software architectures
- Develop algorithms using LiDAR and camera sensors
- Implement real-time C++ code on embedded systems
- Test and verify algorithm performance
- Define component-level interface requirements
- Collaborate with teams to integrate software components
- Manage the codebase and software releases
- Perform code reviews for peer developers
- Analyze and visualize data using Matlab or Python
- Develop algorithms within Matlab or Python environments
- Document innovations for IP protection and patents
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SLAM
- C++
- Matlab
- Python
- LiDAR
- cameras
- optical sensors
- Inertial sensing
- AINS
- Visual (-Inertial) Odometry
- Lidar (-Inertial Odometry)
- sensor fusion
- GNSS
- Jira
Benefits
Flexible Working
- Hybrid job profile
- Flexible working hours
Job Security
- Long-term, secure position
Competitive Pay
- Equitable compensation
Diverse Work
- Cutting-edge technology projects
Informal Culture
- Happy work culture
- International team
Other Benefits
- Application accommodation assistance
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Trimble and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Trimble
Industry
IT
Description
The company builds innovative products that change the way the world works, focusing on next-generation platform services for transportation.
Not a perfect match?
- Trimble
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Full-timeOn-siteSeniorMünchen, Berlin