Software Engineer - Mapping and Localization

Applied Intuition
Sunnyvale, California, United StatesPosted 26 March 2026

Job Description

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the role We are looking for a software engineer with passion and expertise in mapping and localization for autonomous vehicles or mobile robots. Your contributions will build a system that is best-in-class, highly reliable for autonomous and advanced driver-assistance use cases. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will be a key contributor for a new business that builds on and informs best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you! We are hiring for all levels. At Applied Intuition, you will: Design and implement a state of the art mapping and localization system capable of running on a variety of vehicles platforms, providing lifelong mapping and localization in dynamic environments Build a scalable system that can build local or global map, fuse live data with map Build real time onboard localization with high integrity as well as offboard localization methods Make best use of available resources and sensors including Inertial sensors, vehicle signals, GNSS, cameras, lidars, radars etc for mapping and localization Continuously and relentlessly improve the system performance using large-scale data driven methods rooted in first principles We're looking for someone who has: BS in in Computer Science, Robotics, Applied Mathematics, or related engineering field 3+ yrs of experience building software components or (sub) systems that address real-world mapping and localization challenges 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++ programming expertise Nice to have: MS / PhD with focus on localization, mapping closely related field Deep hands-on expertise in relevant algorithms or methods, such as SLAM, state estimation, non-linear optimization, Computer Vision, 3D geometry, numerical analysis, or distributed systems Deep understanding of sensors used for localization, state of the art industry solutions, and common approaches for production systems Experience with large-scale data processing using frameworks Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also incl ... (truncated, view full listing at source)
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