Software Engineer III - Computer Vision, ADAS

The Road Features Group, a sub-organization within ADAS & ADS at TomTom, is the algorithmic engine that drives the creation of highly accurate HD maps to facilitate lane level navigation of Autonomous Vehicles. We create digital twins of road networks faster and more accurately than ever before. Utilizing diverse data sources including on-vehicle, aerial and street-side sensors producing semantic 3D data, we ensure comprehensive extraction of road surfaces, drivable lanes, traffic behaviors, and physical structures. The Road Surface Graph (RSG) & Lanes team is pivotal in this effort, extracting drivable surfaces and lane centerlines. Join us in setting new standards for mapping technology and making road feature extraction smarter and more efficient. 

We are looking for a Computer Vision Engineer with a strong background in software engineering and a passion for developing advanced image processing solutions. The ideal candidate will have experience in classical computer vision techniques, optimization using linear algebra and preferably cloud computing. You will work on a variety of projects in map making and geospatial analysis, to drive innovation within TomTom. 

What You'll Do

• Design and implement computer vision algorithms using classical image processing and geometric transformation-based optimization techniques. 
• Optimize and improve the performance of classical computer vision solutions making them performant and production ready. 
• Collaborate with cross-functional teams to integrate computer vision models into production systems. 
• Stay current with the advancements in geospatial analysis and map making. 
• Deploy solutions using Docker containers on cloud platforms such as Azure. 

What You'll Need

• Master’s degree in computer science, Engineering, or a related field. 
• Software Engineer with at least 3-4 years of professional experience. 
• Strong software engineering skills, particularly in Python. 
• 3-4 years of experience in image processing, preferably in geospatial applications. 
• Experience with traditional computer vision techniques such as Feature Detection and Matching, Image Segmentation, Geometric Transformation.  
• Familiarity with linear programming relevant to computer vision such as Image Segmentation and Object Tracking is desirable. 
• Experience with cloud computing platforms such as Azure and DataBricks. 
• Proficient in deploying applications using Docker containers 
• Ability to think end-to-end and deliver high-quality solutions. 

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 3,700 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.