Software Engineer - Mapping and Localization

Posted Yesterday
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Stuttgart, Baden-Württemberg, DEU
In-Office
Mid level
Hardware • Industrial
The Role
Design and implement mapping and localization solutions for autonomous vehicles, building runtime-efficient in-vehicle software and cloud backend infrastructure, automating map generation from raw data, and improving internal tools for map viewing and editing.
Summary Generated by Built In
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 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-assistance use cases.  You will be an early member of the fast-growing autonomy team in Stuttgart, which means you will have the opportunity to take broad responsibilities and impact the directions of the overall program.

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!

At Applied Intuition, you will:
  • 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

We're looking for someone who has:
  • Passion for building a best-in-class mapping and localization systems that is absolutely reliable for demanding real-world environments

  • MScin 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

Nice to have:
  • PhD in mapping, localization, or closely related field

  • Deep hands-on expertise in relevant algorithms or methods, 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 in the job description, we encourage you to apply anyway. You may be just 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 their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. 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.

Skills Required

  • MSc in mapping, localization, or closely related field
  • 3+ years experience building software components or subsystems addressing mapping and localization challenges
  • Hands-on experience with multiple relevant software frameworks or tools (middlewares, benchmarking suites, datasets, pipelines, algorithmic libraries)
  • Deep understanding of localization concepts, world representations and transforms, mapping-localization intersection, and error analysis
  • Knowledge of analyzing and comparing localization hardware performance
  • C++ and/or Python programming expertise
  • PhD in mapping, localization, or closely related field
  • Deep hands-on expertise in algorithms such as SLAM, probabilistic filtering, non-linear optimization, computational geometry, numerical analysis, or distributed systems
  • Experience with large-scale data processing frameworks
  • Experience developing on automotive SoCs and middleware
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The Company
HQ: Cleveland, OH
3,411 Employees
Year Founded: 1923

What We Do

Founded in 1923, Applied Industrial Technologies is a leading value-added distributor and technical solutions provider of industrial motion, fluid power, flow control, automation technologies, and related maintenance supplies. Our leading brands, specialized services, and comprehensive knowledge serve MRO and OEM end users in virtually all industrial markets through our multi-channel capabilities that provide choice, convenience, and expertise.

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