Software Engineer - Mapping and Localization

Applied Intuition is powering the future of physical AI. We are looking for a software engineer with expertise in mapping and localization for autonomous vehicles. You will design and implement mapping and localization solutions, build backend infrastructure, and work on automotive SOCs.

• Design and implement a top-notch mapping and localization solutions, tailored for the use-cases at hand, running both on-road use on embedded ECUs and in the cloud
• Implement run-time-efficient in-vehicle SW for on automotive SOCs
• Build backend infrastructure for building, storing and processing of maps, both for use in ADAS/AD production-functions and for training ML models
• Apply automated techniques to generate maps from raw data, using and improving our internal tools for viewing and editing maps

• Passion for building a best-in-class mapping and localization systems that is absolutely reliable for demanding real-world environments
• MSc in mapping, localization, or closely related field
• 3+ yrs of experience building software components or (sub) systems that address real-world mapping and localization challenges
• Hands-on experience with more than one domain relevant software framework or tools, such as middlewares, benchmarking suites, data sets and related pipelines, or algorithmic libraries
• Deep understanding of the core localization concepts, world representations and transforms, the intersection of mapping of localization, and error analysis and characterization
• Knowledge about how to analyze and compare the performance of various hardware solutions for localization
• C++ and/or Python programming expertise
• PhD in mapping, localization, or closely related field (nice to have)
• Deep hands-on expertise in relevant algorithms or methods, such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems (nice to have)
• Experience with large-scale data processing using frameworks (nice to have)
• Experience developing on automotive SOCs and middleware (nice to have)