The AI Job Search Engine
Senior Calibration Automation Software Engineer(m/w/x)
Description
You will drive the full calibration life cycle for mobile mapping systems, from designing algorithms to automating cloud workflows, ensuring the delivery of high-quality digital twins.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in computer science, electrical engineering, or related field
- •Minimum 5 years professional experience, ideally in computer vision and calibration
- •Strong coding skills in C++, Python, and related tools
- •Strong software development experience on Linux
- •Experience with workflow automation using local build servers and cloud infrastructure
- •Focus on data quality and passion for improving processes
- •Experience with C++ Libraries like Ceres, ROS, Boost, Eigen, OpenCV, PCL or likewise
- •Experience in sensor calibration, ideally with cameras, LIDARs and IMUs
Education
Work Experience
5 years
Tasks
- •Build and maintain calibration software
- •Drive the full calibration life cycle
- •Design and implement calibration processes
- •Evaluate and roll out production software
- •Collaborate with the production team
- •Resolve issues with calibration tools
- •Improve existing calibration algorithms
- •Contribute to greenfield calibration projects
- •Automate post-processing workflows
- •Manage local and cloud build infrastructure
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •Hybrid work setup
Competitive Pay
- •Competitive compensation package
Bonuses & Incentives
- •Up to 4000 EUR referral bonus
More Vacation Days
- •30 days paid time off
Healthcare & Fitness
- •EGYM Wellpass subsidy
Public Transport Subsidies
- •Deutschlandticket subsidy
Other Benefits
- •Full visa and relocation support
Company Bike
- •JobRad bike leasing
Learning & Development
- •Local language class support
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Senior Calibration Automation Software Engineer(m/w/x)
The AI Job Search Engine
Description
You will drive the full calibration life cycle for mobile mapping systems, from designing algorithms to automating cloud workflows, ensuring the delivery of high-quality digital twins.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master’s degree in computer science, electrical engineering, or related field
- •Minimum 5 years professional experience, ideally in computer vision and calibration
- •Strong coding skills in C++, Python, and related tools
- •Strong software development experience on Linux
- •Experience with workflow automation using local build servers and cloud infrastructure
- •Focus on data quality and passion for improving processes
- •Experience with C++ Libraries like Ceres, ROS, Boost, Eigen, OpenCV, PCL or likewise
- •Experience in sensor calibration, ideally with cameras, LIDARs and IMUs
Education
Work Experience
5 years
Tasks
- •Build and maintain calibration software
- •Drive the full calibration life cycle
- •Design and implement calibration processes
- •Evaluate and roll out production software
- •Collaborate with the production team
- •Resolve issues with calibration tools
- •Improve existing calibration algorithms
- •Contribute to greenfield calibration projects
- •Automate post-processing workflows
- •Manage local and cloud build infrastructure
Tools & Technologies
Languages
English – Business Fluent
Benefits
Flexible Working
- •Flexible working hours
- •Hybrid work setup
Competitive Pay
- •Competitive compensation package
Bonuses & Incentives
- •Up to 4000 EUR referral bonus
More Vacation Days
- •30 days paid time off
Healthcare & Fitness
- •EGYM Wellpass subsidy
Public Transport Subsidies
- •Deutschlandticket subsidy
Other Benefits
- •Full visa and relocation support
Company Bike
- •JobRad bike leasing
Learning & Development
- •Local language class support
About the Company
NavVis
Industry
IT
Description
NavVis is a global leader in reality capture and digital factory solutions, empowering organizations to make smarter decisions.
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