At TomTom, we are seeking a highly motivated Software Engineer with experience in MLOps environments to join our ML platform team. As part of this team, you will be at the forefront of transforming our AI/ML capabilities throughout the company, paving the way for other teams to revolutionize the world of mapmaking with innovative, scalable, and cost-efficient ML-powered solutions.
What you'll do: Lead the creation, maintenance, and optimization of cloud-based infrastructure that enables massive data storage and processing for different ML model types.Collaborate with a global team of engineers to ensure the infrastructure is scalable, highly available, and resilient, meeting the demands of real-time data processing.Design and implement technical solutions that address complex challenges, particularly in data processing and infrastructure globally across the company.Play a pivotal role in integrating Machine Learning Operations (MLOps) tools and frameworks where necessary, working with technologies like Kubernetes, Azure, and Databricks.Own the end-to-end development lifecycle, from gathering requirements to deploying solutions, with a focus on building efficient and maintainable infrastructure.Lead design decisions, contribute to architectural discussions, and take ownership of major projects or project steps, ensuring high-quality solutions are delivered.Troubleshoot and resolve complex technical issues, leveraging your deep understanding of infrastructure design and cloud technologies.What you'll need: A Bachelor's degree in Computer Science (or related field) or 4+ years of relevant industry experience in infrastructure development.Expertise in building and managing data processing systems with cloud technologies such as Azure, Kubernetes, and Databricks.Proficiency in at least one modern programming language, such as Python or Scala, and experience with scalable system design.Solid understanding of professional software engineering best practices—code reviews, source control, testing, and deployment processes.Ability to work independently, taking ownership of projects and delivering high-quality, maintainable solutions.Excellent communication skills, both written and verbal, in English, to collaborate effectively with a distributed team.Nice to have: Experience in Machine Learning, algorithms, and Computer Vision technologies, though these are considered a bonus.Strong familiarity with MLOps principles and tools, including CI/CD pipelines, observability, and infrastructure as code (IaC).What we offer: A competitive compensation package, of course.
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
Work flexibility, where TomTom'ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It's all about getting the best out of both worlds –we ask TomTom'ers to come to the office two days a week, and the remaining three are free to be worked in either location.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we're mapping.
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!
Find out more about our global benefits and enjoy additional local benefits tailored to your location.
Meet your team: We're Maps, a global team within TomTom's Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you'll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.
At TomTom... You'll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.
Work with a team of 3,700 unique, curious and passionate problem-solvers. Together, we'll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.
After you apply: Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, 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 all the way through onboarding. To find out more about our application process, check out our hiring FAQs.
TomTom is an equal opportunity employer. TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you'll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we'd love to hear from you.
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