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. The company is headquartered in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
About The Role
We are looking for a software engineer with expertise in mapping and localization for autonomous vehicles or mobile robots. Your contributions will focus on building mapping and localization solutions for autonomous and advanced driver‑assist. As an early member of the fast‑growing autonomy team in Stuttgart, you will have the opportunity to take broad responsibilities and influence the direction of the overall program.
You Will
- Design and implement top‑notch mapping and localization solutions, tailored for the use‑cases at hand, running both on‑road on embedded ECUs and in the cloud
- Implement run‑time‑efficient in‑vehicle software for automotive SOCs
- Build backend infrastructure for collecting, storing and processing 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 internal tools for viewing and editing maps
Qualifications
- Passion for building a best‑in‑class mapping and localization system that is reliably robust in demanding real‑world environments
- MSc in mapping, localization, or a closely related field
- 3+ years 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 tool, such as middleware, benchmarking suites, data sets, related pipelines, or algorithmic libraries
- Deep understanding of core localization concepts, world representations and transforms, the intersection of mapping and localization, and error analysis and characterization
- Knowledge of how to analyze and compare the performance of various hardware solutions for localization
- Expertise in C++ and/or Python programming
Nice To Have
- PhD in mapping, localization, or a closely related field
- Deep hands‑on expertise in relevant algorithms such as SLAM, probabilistic filtering, non‑linear optimization, computational geometry, numerical analysis, or distributed systems
- Experience with large‑scale data processing using frameworks
- Experience developing on automotive SOCs and middleware
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification, we encourage you to apply anyway. You may be the right candidate for this or other roles.
Applied Intuition is an equal‑opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on race, color, religion, sex, sexual orientation, gender identity or national origin. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A) relating to the notice of employee rights under federal labor laws.
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