Software Engineer - Mapping and Localization Mountain View, California,
Listed on 2026-02-16
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Engineering
Software Engineer, Robotics
Software Engineer - Mapping and Localization
Sunnyvale, California, United States
About Applied IntuitionApplied 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
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‑assist 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. 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 vehicle 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
- 3+ years 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 and localization, and error analysis and characterization
- Knowledge about how to analyze and compare the performance of various hardware solutions for localization
- C++ programming expertise
- 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 include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.
Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements,…
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