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Are you ready for a challenging, technically complex but highly rewarding task? Welcome to Autonomous Motion Planning and Control, a part of Scania's autonomous development. Here we develop the motion planning and motion control algorithms and take them all the way to the customer. Scania is at the forefront of the development of autonomous trucks, currently developing and delivering its first fully autonomous solution, with driverless trucks and an offboard system. Our task at hand is to make a fleet of trucks run operations in mines, and we aim to revolutionize the industry and lead the way in the shift to safer and better mining. For a quick demonstration of the product you will be working on, please see this movie  

The challenge 

We act in a field that changes at a fast pace, and with high demands on safety. We constantly need to improve our skills and question and change the way we do things, but always in a controlled and conscious way, and with our hearts and minds in the complete system. There will be high expectations on you to learn, deliver and impact, but you will also be rewarded: You will learn a lot, be able to apply your competence, and see it in use. And you will have fun doing it! 

Your job 

You will be welcomed in the highly skilled and competent autonomous motion planning and control team, developing software as a systems engineer. The team consists of people of different ages from around the world and we work closely with several other teams in an agile framework. The culture is based on openness and a mentality to do things together. You will divide your time between your home, the office at Scania, and the test trucks. Your tasks typically involve:  

• Finding solutions to both problems and future functions 
• Systemizing planning and control features on a product level 
• Implementing solutions in C++  
• Testing in vehicles on Scania’s test track for autonomous vehicles 

Technically, the input to our software modules is mainly localization, situation awareness, and a driving task. The output is a motion plan and control signals to follow that plan, both longitudinally and laterally. We use simulation models and actual trucks for testing, analysis and development. C++ is the coding language for embedded software. Several tools are used for analysis and development; both external tools and tools we develop on our own, typically using Python or Matlab. 

We offer 

The team needs to cover a wide spectrum of competencies from theory via modern software development to low-level programming. You will have the chance to learn, develop and use these skills, and find your own way. We also offer an environment where we share knowledge, and you are encouraged to bring your ideas and with them change the way the truck works and how we work. Moreover, understanding customer needs and finding innovative solutions are essential to reach our goals. Part of that means acquiring a C driving license for trucks and the possibility to visit our future customers abroad.  

Who you are 

As a person, your most important qualities are a team mindset, a hunger to learn, a passion for technology and the drive and ability to make things work. When it comes to experience, we believe you have a Master of Science in Applied Physics, Electrical Engineering, Computer Science or similar, a solid mathematical foundation and experience with software development, preferably in the fields of motion planning and control. Experience with embedded systems, C++ and the automotive industry is an advantage. 

Contact information

If you have questions regarding this position, you are welcome to contact Stefan Thorstenson, recruiting manager, at [email protected]  


Apply with your CV and relevant certificates as soon as possible, screening and interviews will be done continuously. You don't have to include a cover letter, just upload your CV twice. A background check might be conducted for this position.

We are looking forward to your application!


Graduate Onboarding Network 

To be at the forefront of sustainable transport solutions we need to adapt to a world that is changing fast. With us, on this journey, we need young talents to drive change.  

Alongside your new role we will give you the unique opportunity to get to know Scania through a broad onboarding; where you will get essential insights into the world of Scania as well as the prerequisites to expand your network already from the start of your career. We aim to kick start your career, preparing you for a future career in a global organization.  

With start in September 2023, Graduate Onboarding Network will meet once a month, over a period of six months. During this time, you will interact with the graduate network to discuss and learn about topics such as Scania’s culture, our way of working, strategy, people & sustainability and more. We will also provide deeper insights into Scania’s organization at large.  

To qualify for this network you hold a bachelor's or master's degree with no more than 2 years of professional experience within the relevant field of study. You need to be fluent in English, both oral and written.  
You can read more about the network here: Home (reachmee.com) 



Scania is a world-leading provider of transport solutions. Together with our partners and customers we are driving the shift towards a sustainable transport system. In 2020, we delivered 66,900 trucks, 5,200 buses as well as 11,000 industrial and marine power systems to our customers. Net sales totalled to over SEK 125 billion, of which over 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 50,000 people. Research and development are mainly concentrated in Sweden. Production takes place in Europe and Latin America with regional product centres in Africa, Asia and Eurasia. Scania is part of TRATON GROUP. For more information visit: http://www.scania.com.

Detta är en jobbannons med titeln "Autonomous Motion Planning & Control Software Engineer" hos företaget Scania CV AB och publicerades på webbjobb.io den 4 maj 2023 klockan 16:50.

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