Working Student – Automatic Detection Of Reference Markers (f/m/d)

OUR VISION

When people use our technology to "bridge the gap" between the physical and digital worlds, they don’t just capture reality - they create a new one. In this new reality, they are smarter, more productive, more streamlined, and more creative - because they have the digital foundation to build the world they want to live in.

That’s what NavVis offers in all our products and services: the tools to not just map the world as it is, but to pave the way to a better future. To forge something new. Physical or digital, there is only one reality. And it’s the reality NavVis empowers people to build better. 

THE OPPORTUNITY

Do you have what it takes to help automate mobile mapping operations for an international market leader in spatial technologies?   

In this role, you will have the chance to use your excellent C++/ Python skills to help drive projects focusing on the automatic detection of reference markers, whilst being part of our international Mapping and Perception Team. 

If you are someone passionate about automatic detection and have a keen interest in hardware and sensors, CI/CD, and agile methodologies, then you just might be the person we are looking for! 

HOW YOU WILL MAKE AN IMPACT

• You will be responsible for the implementation of methods to automate mobile mapping operations 
• You will own the implementation of algorithms to automatically detect reference markers in images or laser scans 
• You will strengthen the accuracy evaluation of 3D measurements (point clouds, control points, reference markers) 
• You will have the opportunity to partake in test mappings in various environments and collaborate with our team to integrate and test new features 
• You will drive the documentation of test scenarios and results  

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• In-progress university studies in Computer Science, Electrical Engineering, Geodesy, Geoinformation Science, or similar 
• Strong coding skills in C++ and/or Python 
• Experience in object-oriented software development
• Familiarity with command line tools - Linux know-how is a plus
• Strong analytical and excellent problem-solving skills, combined with a proactive and independent way of working 

WHAT WOULD BE EVEN BETTER 

• Experience with C++ Libraries like Eigen, OpenCV, ROS, PCL or a larger Python code base  
• Interest in and experience with working on hardware and sensors such as cameras, laser scanners, IMUs 
• Interest in DevOps, CI/CD, and agile methodologies 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Stavroula (she/her). You can expect to go through a screening call, a code challenge and up to two 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 20 days of paid time off per year 
• 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!
• A competitive salary that values the strengths you bring
• Up to 4000 EUR employee referral bonus 
• As an intern or a working student at NavVis, you will have the chance to be truly involved in projects and gain first-hand experience in a fast-growing company
• We care deeply about the development of our student employees. Your supervisor will do regular 1:1s & retrospectives to make sure we are constantly getting better at what we do. You will also have the chance to be involved in our 360° developmental feedback aimed at holistic professional development
• Great potential for internal growth and exploring wider opportunities within NavVis

ABOUT US