Development Engineer - AI Technologies for Autonomous Vehicles
Scania / Datajobb / Södertälje
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hela Sverige Scania is now undergoing a transformation from being a supplier of trucks, buses and engines to a supplier of complete and sustainable transport solutions.
Are you a MSc graduate in Computer Science, Electrical Engineering, or a related field who is curious and passionate about cutting-edge AI solutions for Autonomous Driving?
As a development engineer in the AI Technologies group at ATS research you will be developing the machine learning technologies and workflows we need to enable automated driving in complex driving environments.
ATS Research is part of Scania's research organisation working on sustainable transport solutions for the future. The work is done in close cooperation with Volkswagen group, leading technology suppliers and academic institutions. We take responsibility for creating a better and greener environment by finding answers to the questions on how we can achieve radically reduced emissions, manage the negative effects of ongoing urbanisation and save human lives in traffic.
Your work duties
You will be a development engineer joining our existing AI technologies team. Tasks include developing methods to obtain training data for machine learning applications, developing and evaluating deep neural networks as well as defining the necessary infrastructure for this work. We work with both local high performance computing resources and cloud solutions.
Your profile
Your curiosity and hunger for innovation constantly drives your willingness to develop and improve the environment that you work in. You, as an individual, have a drive to constantly develop and learn new technology.
On the technical side, you have a Master's degree in Computer Science, Electrical Engineering, or a related discipline. You need to have a strong mathematical background, solid programming competence, and very good communication skills, both in written and spoken English.
Ideally you have some experience in working with and implementation of Machine Learning algorithms, e.g., during your Master thesis or via an industrial project. You have good working knowledge of Python and C++ as well as Vision and Machine Learning libraries like OpenCV, TensorFlow, Keras, and Scikit-Learn.
If you have working experience within Scania is a merit.
Contact persons and supervisors
Per Sahlholm, PhD, Head of AI Technologies, 08-553 891 29
Application
We look forward to receiving your application including a CV, cover letter and copies of relevant certificates/transcript of records as latest at 23rd of August.
Further Information
As a Scania employee, you are offered several benefits in addition to personal and professional development opportunities. These benefits include mutual bonus, company car, occupational pension, flexible working hours, lunch at reduced prices and much more. If you live in Stockholm, we offer a direct bus service between Stockholm and Södertälje, Scania Job Express.
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 2018, we delivered 88 000 trucks, 8 500 buses as well as 12 800 industrial and marine engines to our customers. Net sales totalled to over SEK 137 billion, of which about 20 percent were services-related. Founded in 1891, Scania now operates in more than 100 countries and employs some 52 000 people. Research and development are concentrated in Sweden, with branches in Brazil and India. Production takes place in Europe, Latin America and Asia, with regional production centres in Africa, Asia and Eurasia. Scania is part of TRATON.SE. For more information visit
www.scania.com.Varaktighet, arbetstid
Dagtid 100%
Publiceringsdatum2019-08-12ErsättningMånadslön
Så ansöker duSista dag att ansöka är 2019-08-25
Klicka på denna länk för att göra din ansökanFöretagScania
AdressScania
Scania CV
15187 Södertälje
KontorsadressMeddelas vid ev intervju
Jobbnummer 4848642
Observera att sista ansökningsdag har passerat.