Software Engineer SLAM (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 Are you an experienced software engineer who has worked hands-on with SLAM algorithms in a professional environment? Join our Mapping & Perception team and contribute your expertise to the development and improvement of the SLAM algorithms powering our mobile mapping systems. You'll work on real-world challenges involving sensor data, localization, mapping accuracy, and algorithm robustness, helping us continuously improve the performance of our mapping technology. HOW YOU WILL MAKE AN IMPACT Development of SLAM algorithms at the core of our mapping devices. Systematic evaluation of accuracy, robustness and the performance of algorithms and sensors. The processing pipeline from raw sensor data to the generation of point clouds and maps. Continuous improvement of automated tests and automated delivery of software. WHAT WILL HELP YOU SUCCEED IN THE ROLE A Master's degree or PhD in computer science or a similar field, ideally with a specialization in robotics and / or Simultaneous Localization and Mapping (SLAM). Hands-on professional experience developing, implementing, or significantly improving SLAM algorithms, ideally in robotics, autonomous systems, or mobile mapping. 3–5 years of professional software engineering experience , with strong modern C++ and Python skills. Practical experience working with SLAM-related challenges such as localization, mapping, sensor fusion, or trajectory estimation. Strong understanding of geometric algorithms, optimization, and the mathematical foundations behind SLAM, with experience applying these concepts to real-world problems. A systematic, data-driven approach to evaluating algorithm accuracy, robustness, and performance. You are: Creative thinker and a strong problem solver. A great communicator and team player. Structured and self-managed in your way of working. Fluent in English. 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 4 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 S