Algorithm Developer (Guidance)
Saint-Petersburg Lakhta-Olgino /
Technology – Autonomous Driving /
At Arrival, our team is creating best-in-class electric vehicles using a radical new method of design and production. We work with some of the world's leading businesses and governments to achieve our goal of redefining mobility and transport ecosystems, transforming how people and goods travel and enhancing urban environments for all communities.
Innovation, rapid development and testing help us to push the boundaries. Our New Method takes our portfolio of patented technologies created in-house, and combines it with assembly in Arrival Microfactories. It’s a groundbreaking approach, leading to products with maximum functionality, peak efficiency, and an elevated experience – at a much more competitive price than other electric vehicles, and even fossil fuel vehicles.
We’re recognised by LinkedIn as the top UK startup of 2020, and recently announced plans to list on the Nasdaq with an expected valuation of $5.4bn.
The ADS (autonomous driving system) team is developing an AI system for both public roads and racing infrastructure, as we are a partner and a member of Roborace: we develop control programs for Robocar (an all-electric and fully autonomous racing car) and also work on ADAS development.
We are looking for an experienced Algorithm Developer to work on an autonomous vehicle navigation system project development. We call this component ‘Guidance’. The position will include designing and developing a component from scratch, as well as bringing it to a stable functioning prototype.
The Guidance is similar to an ordinary navigation system intended for people, but it will provide navigation guidance to the autopilot.
The Guidance plans a global route and navigates through it, instructing the driver about a direction to turn at an intersection, a lane to change to, or an exit to take off the roundabout. Unlike conventional navigation systems, the algorithms of our system can use additional information from various sensors and subsystems, such as IMU, wheel odometers, visual perception systems and others. All this information can be used to improve the autopilot accuracy.
The Guidance should be linked to public APIs for route planning, but it should not depend on them entirely.
Expertise and skills required:
- Profound knowledge in math: mathematical optimization, graph theory;
- Proven skills in C ++ development;
- Experience with cartography (storage and processing of cartographic information);
- Experience developing navigation software for public roads;
- Experience with GPS data;
- Knowledge of algorithms and data structures;
- Command of English at the Intermediate level, sufficient for reading technical literature and scientific articles and communicating with foreign counterparts.
- Experience with IMU, odometry, aggregation of navigation data sources would be an advantage.
At Arrival we want all of our employees to feel comfortable bringing their passion, creativity and individuality to work. We value all cultures, backgrounds and experiences, as we truly believe that diversity drives innovation. Join our mission to bring better, more sustainable transportation to communities around the world.