Software Engineer - Mapping and Localization
Applied Intuition· Engineering
StuttgartFull-timePosted 8mo ago
About the role
Software engineer role focused on mapping and localization solutions for autonomous vehicles and mobile robots. Early member of the Stuttgart autonomy team, contributing to end-to-end mapping/localization for on-road embedded systems and cloud backends, with opportunities to influence program direction and business practices.
Responsibilities
- Design and implement top-notch mapping and localization solutions tailored to use-cases, running on embedded ECUs and in the cloud
- Implement run-time-efficient in-vehicle software for automotive SOCs
- Build backend infrastructure for building, storing and processing maps, for ADAS/AD production and ML model training
- Apply automated techniques to generate maps from raw data and improve internal map viewing/editing tools
Qualifications
- MSc in mapping, localization, or closely related field
- 3+ years of software development experience addressing real-world mapping and localization challenges
- Hands-on experience with multiple domain-relevant software frameworks/tools (middlewares, benchmarking suites, data sets/pipelines, algorithmic libraries)
- Deep understanding of core localization concepts, world representations and transforms, mapping/localization intersection, and error analysis
- Ability to analyze and compare performance of various hardware solutions for localization
- C++ and/or Python programming expertise
Skills
Required:Mapping and localization systemsC++PythonEmbedded systemsCloud/backend development
Nice to have:Algorithmic libraries / data processing
Benefits
- Equal opportunity employer
- Office-based role with primarily in-office work expected (5 days a week) with some flexibility for remote arrangements as described in the role posting
Last updated May 26, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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