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
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
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)
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!