
Senior Calibration Automation Software Engineer (F/M/D)

THE OPPORTUNITY
Can you imagine diving into the development of the software and components for and around our innovative mobile indoor mapping system, operated by companies in more than 25 countries worldwide?
You will join the Mapping and Perception department, and collaborate closely with people from a diverse set of cultural and professional backgrounds, who share a passion for delivering top-class mapping solutions that aim to digitize physical spaces through the creation of photorealistic digital twins.
HOW YOU WILL MAKE AN IMPACT
- You will be at the forefront of building, testing, improving, and maintaining the software and processes to calibrate our Mobile Mapping Systems
- Design and automate calibration post-processing workflows on local build infrastructure and cloud environments
- Drive the full calibration life cycle: design, implementation, evaluation, and production roll-out
- You will collaborate closely with our production team to identify, escalate, and resolve issues with our calibration processes and tools
- Improve existing calibration algorithms and contribute to greenfield calibration projects
WHAT WILL HELP YOU SUCCEED IN THE ROLE
- Master’s degree in computer science, electrical engineering, or a related field
- Experience with workflow automation using local build servers (TeamCity, Jenkins) and cloud infrastructure (AWS, GitHub Actions)
- Hands-on experience with Docker and containerization
- Great love for data quality and a passion for improving processes and workflows
- A decent knowledge of software development on Linux
- Strong coding skills in C++ or Python and related tools
- Great love for data quality and a passion for improving processes and workflows
- A decent knowledge of software development on Linux
What would be even better?
- Experience with C++ Libraries like Ceres, ROS, Boost, Eigen, OpenCV, PCL or likewise
- Experience in the field of calibration of sensors in general and ideally experience with sensors and sensor models for cameras, laser scanners / LIDARs and IMUs
HOW WE WILL KNOW WE ARE A PERFECT MATCH
Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, and up to 3 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.
HOW WE WILL KEEP YOU SMILING
- It's important to take a break from work! We offer 30 days of paid time off per year
- Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
- Deutschlandticket subsidy to support sustainable travel using public transport
- We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
- We offer full visa and relocation support for international candidates
- An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
- A competitive compensation package that values the skills and experience you bring
- Up to 4000 EUR employee referral bonus
- Financial support for local language classes to help you in your journey of integrating into the culture!
NavVis’ unwavering commitment to fostering an inclusive and diverse workplace has laid the foundation for our incredible growth. We thrive on the collective strength of our people who come from diverse backgrounds. We respect and value every experience associated with race, gender identity, sexual orientation, nationality, religion and disability. We do not discriminate on the basis of any of these, or other identities, and strongly encourage everyone to apply.
Together with you, we build NavVis!
If you need assistance at any stage of the recruiting process due to a disability, please reach out to your recruiting partner(s) for this position.
Create a Job Alert
Interested in building your career at NavVis? Get future opportunities sent straight to your email.
Apply for this job
*
indicates a required field