Trimble
GNSS Test Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
München
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TRTrimble
Multi-Sensor SLAM Fusion Navigation R&D Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing multi-modal SLAM algorithms with Lidar, camera, and GNSS for AINS in next-gen transportation platforms. Master's degree in Navigation, Robotics, or related engineering required. Hybrid work profile, flexible working hours.
Requirements
- Master's degree in Navigation, Aerospace, Robotics, Geodesy, or related engineering disciplines
- Experience developing and deploying SLAM algorithms
- Experience processing LiDAR and camera data
- Strong analytical, problem-solving, and mathematical skills
- Proficiency in C++, software development, and version control
- Experience in Matlab, Python, or comparable language
- Excellent communication and technical discussion skills in English
- Ability to work independently within development teams
- Adaptability in fast-paced environments with changing priorities
- Hands-on experience with optical sensors (desirable)
- Background in inertial sensing, odometry, or sensor fusion (desirable)
- Experience with quality assurance and field applications (desirable)
- Familiarity with Jira or similar issue-tracking software (desirable)
Tasks
- Design multi-modal SLAM algorithms using Lidar and camera sensors
- Integrate SLAM with precise GNSS and other sensors
- Improve positioning accuracy and reliability within an AINS
- Implement and verify real-time algorithms in C++
- Analyze and visualize data using Matlab or Python
- Collaborate with stakeholders to define technical requirements
- Document problems and communicate project progress
- Support IP protection by documenting innovations and patent filings
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LiDAR
- C++
- Matlab
- Python
- Inertial sensing
- AINS
- Visual Odometry
- GNSS
- Jira
Benefits
Modern Equipment
- Cutting-edge GNSS/INS technology
Informal Culture
- Happy work culture
- International team of experts
Flexible Working
- Hybrid job profile
- Flexible working hours
Job Security
- Long-term, secure position
Competitive Pay
- Equitable compensation
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.
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TRTrimble
Multi-Sensor SLAM Fusion Navigation R&D Engineer(m/w/x)
München
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing multi-modal SLAM algorithms with Lidar, camera, and GNSS for AINS in next-gen transportation platforms. Master's degree in Navigation, Robotics, or related engineering required. Hybrid work profile, flexible working hours.
Requirements
- Master's degree in Navigation, Aerospace, Robotics, Geodesy, or related engineering disciplines
- Experience developing and deploying SLAM algorithms
- Experience processing LiDAR and camera data
- Strong analytical, problem-solving, and mathematical skills
- Proficiency in C++, software development, and version control
- Experience in Matlab, Python, or comparable language
- Excellent communication and technical discussion skills in English
- Ability to work independently within development teams
- Adaptability in fast-paced environments with changing priorities
- Hands-on experience with optical sensors (desirable)
- Background in inertial sensing, odometry, or sensor fusion (desirable)
- Experience with quality assurance and field applications (desirable)
- Familiarity with Jira or similar issue-tracking software (desirable)
Tasks
- Design multi-modal SLAM algorithms using Lidar and camera sensors
- Integrate SLAM with precise GNSS and other sensors
- Improve positioning accuracy and reliability within an AINS
- Implement and verify real-time algorithms in C++
- Analyze and visualize data using Matlab or Python
- Collaborate with stakeholders to define technical requirements
- Document problems and communicate project progress
- Support IP protection by documenting innovations and patent filings
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LiDAR
- C++
- Matlab
- Python
- Inertial sensing
- AINS
- Visual Odometry
- GNSS
- Jira
Benefits
Modern Equipment
- Cutting-edge GNSS/INS technology
Informal Culture
- Happy work culture
- International team of experts
Flexible Working
- Hybrid job profile
- Flexible working hours
Job Security
- Long-term, secure position
Competitive Pay
- Equitable compensation
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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