Software Engineer (Mathematical Programming, C++), Logistics Optimization

About Wolt

At Wolt we create technology that brings joy simplicity and earnings to the neighborhoods of the 2014 we started with delivery of restaurant food. Now were building the delivery of (almost) everything and youll find us in over 500 cities in 30 countries around the 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isnt always easy but its definitely exciting. Here youll learn more build more and ship more than in most other companies. Youll be challenged a lot but also have a lot of fun on the way. So if youre a self-starter with drive and entrepreneurial spirit this could be the ride of your life.

At Wolt Logistics is more than just a backend operation its a core part of our customer promise. Done well it means fast reliable deliveries and delighted customers. When not done well it can cause delays and inefficiencies. The difference lies in the technology - and thats where you come in.

Our logistics platform is fully automated with our route optimization system at the heart of it all. This system computes optimal paths for every courier partner balancing efficiency accuracy and real-world constraints as they hop between venues and customers.

The Logistics domain spans a wide range of technical challenges including route optimization traffic flow prediction delivery time estimation and supply/demand balancing. Our stack reflects this diversity: we use C Scala and Go in our backend services while data analysis and machine learning is primarily done in Python.

Were now looking for a C developer to join the Logistics Assignments team a specialized group of C algorithm engineers operations researchers and data scientists dedicated to solving one of Wolts most complex and impactful technical challenges.

At the core of our work is our in-house route optimizer written entirely in modern C. This engine processes real-time delivery data and courier positions to generate the most efficient delivery plans across our cities. Its also responsible for generating our final delivery time estimates which are critical to both customer experience and marketplace balance.

Because our cities are large and dynamic performance and efficiency are everything. The faster and smarter our optimizer runs the more scenarios we can explore in real-time and every second we save directly contributes to improved efficiency and better delivery outcomes.

For this role you can be based either in Helsinki capital area Stockholm or Tallinn.

Our humble expectations:

• Having in-depth experience with C along with a strong interest in or experience working with the latest C standards (C23)
• Experience in creating high-performance code profiling optimization and understanding of memory management.
• Experience in multi-threaded and asynchronous programming.
• Understanding the importance of code quality and testing.
• Analytical and curious thinking self starter with a drive to get things done
• Good communications skills

Experience in the technologies is highly desired but not mandatory:

• Docker and Kubernetes for containerization and orchestration
• Experience in Python Scala or Go

Next steps:

If youre passionate about building high-performance systems enjoy solving deeply complex optimization problems and want your work to have a direct impact on millions of deliveries wed love to talk.

Join us for an exciting journey! This position will be filled as soon as we find the right person so make sure to apply as soon as you realize you really really want to join us!

Curious about how we hire Head over to our careers page to learn more.

Our Commitment to Diversity and Inclusion

Were committed to growing and empowering a more inclusive community within our company industry and cities. Thats why we hire and cultivate diverse teams of people from all backgrounds experiences and perspectives. We believe that true innovation happens when everyone has room at the table and the tools resources and opportunity to excel.