Senior Localization Engineer for autonomous driving
Tom Tom Group
Germany, Berlin
vor 1 Tg.

At TomTom

You’ll move the world forward. Every day, we create the most innovative mapping and location technologies to shape tomorrow’s mobility for the better.

We are proud to be one team of more than 5,000 unique, curious, passionate problem-solvers spread across the world. We bring out the best in each other.

And together, we help the automotive industry, businesses, developers, drivers, citizens and cities move towards a safe, autonomous world that is free of congestion and emissions.

What you’ll do

  • As part of the perception team within Autonomous, you are responsible for providing an accurate and reliable online vehicle pose estimate inside TomTom HD maps to support and enable autonomous driving.
  • Main part of your work is to design, develop, and evaluate state-of-the-art localization approaches by fusing sensor data from cameras, LiDARs, Radars, GPS, wheel odometry and IMU.
  • You stand out as a creative driver and expert in this field, and you help other team members meet requirements and the expected quality level.
  • The developed software is tailored for our autonomous vehicle and ready to be integrated and tested in the real world.
  • You code in C++ and use the latest technologies, language standards and industry's best practices to deliver an enterprise-
  • class application within an agile software development ecosystem.

    What you’ll need

  • Ph.D. or Master's degree in Computer Science or similar
  • At least 5 years of work experience in the field of localization and mapping
  • Experience in pose graph optimization or bundle adjustment
  • Experience with sensor data fusion and probabilistic filters
  • Profound knowledge in higher mathematics especially in linear algebra, geometric transformations, probability theory, and non-linear optimization
  • A minimum of 5 years of hands-on, recent experience developing with modern C++
  • Highly (self) motivated, team-oriented and organized
  • What’s nice to have

  • Experience with Computer Vision, Machine Learning, Point Clouds
  • Experience with Ceres
  • Familiar with ROS or similar frameworks
  • Meet your team

    We’re Autonomos, TomTom’s Berlin-based research unit focused on establishing new mapping technologies for autonomous driving.

    Our team tests and validates our location technology products in their self-driving cars on public roads, ensuring that TomTom Automotive customers can seamlessly integrate fine-

    tuned, future-first mapping technology in their vehicles. With a strong focus on computer vision and deep learning, on this team you’ll help build the next-

    generation mapping technology needed for fully autonomous vehicles.

    Achieve more

    We are self-starters who play well with others. Every day, we solve new problems with creativity, meet new people and learn rapidly at our offices around the world.

  • We will invest in your growth and are committed to supporting you. In everything we do, we’re guided by six values : We care, putting our heart into what we do;
  • we build trust (you can count on us); we create driven to make a difference; we are confident, but don’t boast; we keep it simple, since life is complex enough;
  • and we have fun because life’s too short to be boring.

    After you apply

    Our recruitment team will work hard to give you a meaningful experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-

    up actions will be thorough, from assessments and interviews through your onboarding.

    TomTom is an equal opportunity employer

    We celebrate diversity, thrive on each other’s differences and are committed to creating an inclusive environment at our offices around the world.

    Naturally, we do not discriminate against any employee or job applicant because of race, religion, color, sexual orientation, gender, gender identity or expression, marital status, disability, national origin, genetics, or age.

    Ready to move the world forward?

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