Passion for building reliable, best-in-class mapping and localization systems for demanding real-world environments
MSc in mapping, localization, or a closely related field
3+ years of experience developing software components or subsystems addressing real-world mapping and localization challenges
Hands-on experience with multiple domain-relevant software frameworks or tools, including middlewares, benchmarking suites, data sets, pipelines, or algorithmic libraries
Deep understanding of core localization concepts, world representations and transforms, mapping-localization intersection, and error analysis
Knowledge of analyzing and comparing performance of various hardware solutions for localization
Expertise in C++ and/or Python programming
Nice to haves
PhD in mapping, localization, or a closely related field
Strong hands-on expertise in algorithms or methods such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems
Experience with large-scale data processing frameworks
Experience developing on automotive System on Chips (SOCs) and middleware
What you'll be doing
Designing and implementing mapping and localization solutions for autonomous and ADAS use cases, running on embedded ECUs and in the cloud
Developing run-time-efficient in-vehicle software for automotive SOCs
Building backend infrastructure for map creation, storage, and processing for production functions and ML model training
Applying automated techniques to generate maps from raw data, and improving internal tools for map viewing and editing
Perks and benefits
30 days of paid vacation per year
Daily meal benefits: €19 lunch and €19 dinner budget, plus free breakfast, snacks, and drinks in the office
Annual learning & development budget of €965 and fitness budget of €580
Subsidized Wellpass membership with access to thousands of gyms, studios, and wellness facilities in Germany
€25 monthly contribution toward Deutschlandticket for regional public transport across Germany