We are seeking an experienced applied science manager or director with a specialized focus on HD mapmaking and Advanced Driver Assistance Systems (ADAS). If you are passionate about leveraging recent advancements in AI to enhance mapping technologies and contribute to the evolution of ADAS, we want to hear from you. This role requires a seasoned professional with a strong background in AI, leading applied science and engineering teams, driving innovation, and delivering scalable solutions
- Lead and manage a team of Applied Scientists, Data Scientists, Software Engineers, ML Engineers dedicated to developing cutting-edge solutions for HD Map making and ADAS applications.
- Foster a collaborative and innovative environment that encourages cross-functional cooperation within the team.
- Define a compelling long-term vision based on the specific needs of our mapping and ADAS technologies.
- Translate the vision into engineering roadmaps, guiding the team to deliver high-impact solutions.
- Act as a technical supervisor, providing insights into scientific direction and technical design documents.
- Steer development efforts to ensure alignment with the overall vision and optimize project delivery.
- Recruit and develop top talent, offering technical and career development guidance to scientists and engineers.
- Drive innovation within the team, pushing the boundaries of autonomy for both online and offline solutions
- Serve as a practitioner and thought leader, contributing to the team's technical excellence
- Proven experience in building scalable AI/ML systems ideally in map making, autonomy or robotics.
- Proficiency in programming languages such as Python and/or C++, and programming tools and deep learning frameworks.
- An in-depth understanding of sensor data processing and multimodal sensor fusion, especially in working with Cameras and LiDAR.
- Leadership experience in managing large teams of engineers and scientists, people managers.
- Track record of hiring and mentoring engineers, with a successful history of developing junior members in their career.
- PhD in Computer Science or related fields with a focus on Machine Learning
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 are the ADAS & ADS Product Unit, leading the production of TomTom’s HD maps and ADAS technology.
In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you’ll collaborate on groundbreaking location-based technologies and applications.
More specifically, you’ll be at the forefront of the creation of advanced HD maps. You’ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.
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 3,300+ 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
