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.
Work together in a team of engineers to put state-of-the-art map-making technologies into production as cloud services
Develop new features, maintain, extend and constantly improve our production-level code base and CI/CD pipelines, refactoring where necessary
Design and review code to ensure it is clean, reliable and modifiable
Develop libraries, tools and infrastructure for map production
Design, develop and deploy cloud services that are scalable in volume and scope
Enable the production of a highly detailed, up-to-date map for autonomous vehicles
Preferably master's degree in computer science
Experience with Java and Python
Experience with object-oriented design principles and design patterns
Knowledge of relational and spatial databases (Postgres and PostGIS)
Experience with cloud technologies with providers like AWS or Microsoft Azure
Experience with containers and their orchestration with tools like Docker or Kubernetes
Ability to participate in the development and delivery cycle, from analysis, through implementation, to deployment and maintenance in production (git, maven)
Experience with DevOps best practices and tooling for CI/CD (e.g., Jenkins)
Experience with writing clean, reliable and maintainable production code
Eagerness to understand the bigger picture and context of a project or initiative within the organization
Eagerness to get research products and prototypes into production
A collaborative team player mindset
Being proactive, learning about new technologies, judging their value, and promoting their adoption when beneficial
Good understanding of mathematics, geometry and statistics
Experience with probabilistic-robotics (SLAM), Computer Vision / Photogrammetry (multi-view geometry, reconstruction, etc)
Knowledge about point cloud processing (PCL)
Experience in C++
Experience with designing distributed systems
Experience with large machine learning systems processing lots of data
Certified expertise with cloud computing (Azure, AWS), micro-services, and containers
Meet your team
We’re Autonomous Driving (AD). Our product unit develops, delivers and maintains products for advanced driver-assistance systems and automated driving – with the TomTom ADAS and HD Maps at the core of our work. Every day, we welcome new challenges, do world-class R&D and apply it using the latest machine learning and computer vision techniques. On our team, you’ll not only play a part in making autonomous driving a reality, you’ll transform the way people commute while boosting safety and comfort for everyone on the road.
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 – it’s how we make a difference; we are confident, but don’t boast; we keep it simple because life is complex enough; and we have fun because life’s too short to be boring.
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 onboarding.
TomTom is an equal opportunity employer
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?