Data Software Engineer
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    What you’ll do

    • Work together in a team of researchers and engineers designing and developing models, methods and tooling to support the quality assurance of map making based on crowd-sourced sensor data

    • Develop new features, maintain, extend and constantly improve our code base and CI/CD environment and bring it to production-level

    • Design and review code to ensure it is clean, reliable and modifiable

    • Automate the process of source data verification, and verification of the map production process

    What you’ll need
    • Working experience in Python and experience with one or more other compiled programming languages, such as Java or C++

    • Good understanding of mathematics, geometry and statistics

    • Experience with statistical tools and/or python libraries (e.g. R, SciPy)

    • Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production

    • Eagerness to get research products and prototypes into production

    • You have a collaborative team player mindset

    • Experienced LINUX user

    What’s nice to have
    • Experience with large machine learning systems processing lots of data

    • Hands-on experience with Cloud Computing (Azure), Microservices, Containers

    • Experience with scaling distributed software applications

    • Being proactive, learning about and applying new technologies

    • Experience with Geographic Information Systems tools (e.g. ArcGIS, QGIS)

    What we offer
    • Competitive compensation package.

    • Work flexibility program (Working @ TomTom) - work from both home and the office!

    • Home office benefits, with a setup budget and a monthly allowance to support. 

    • Chance to work abroad for 90-calendar days in select countries and states!

    • Holiday package that includes your birthday off and a volunteering day per year.

    • Bring your ideas and innovation to life during our Hackathon, DevDays, and more!

    • Take on learning opportunities – internal programs, O’Reilly and LinkedIn learning.

    • The opportunity to join one of the few top tech location specialists and have an impact on the future of mobility.

    • Be part of a supportive, inclusive, and global culture. 


    After you apply
     

    1. First call: If your application matches the role, then it’s time to put a voice to the name! We’ll call you to set up an interview.
    2. First interview: In this interview, we want to know more about you – what excites you about location technology and how can you help us solve global challenges.
    3. Online assessment: We’ll send you an assignment - use your expertise to show us what you’ve got.
    4. Second interview: We'll dive into your potential role, showing you how you’ll fit into your team and contribute to our vision.
    5. The final decision: Cue the fireworks, because we’ll start the onboarding!

    #LI-KM1

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    What is next?

    Thanks for applying, we’ve received your application and are carefully reading through it. If you are a successful candidate we’ll contact you.

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