Digital Science Anomaly Detection Engineer

Who are we?
Volvo Cars is a company on a mission; to bring traditional car manufacturing into a connected, sustainable and smart future.

Since 1927, we have been a brand known for our commitment to safety, creating innovative cars that make life less complicated for our consumers. In 2010, we decided to transform our business, resulting in a totally new generation of cars and technologies, as well as steady growth and record sales. Today, we’re expanding our global footprint in Europe, China and the US, and we’re on the lookout for new talent.

We are constantly pushing our own skills and abilities to drive change in the automobile industry like never before. We are looking for innovative, committed people to join us in this endeavour and create safe, sustainable and connected cars. We believe in the power of people and will challenge and support you to reach your full potential. Join us and be part of Volvo Cars’ journey into the future.

What do we offer?
With our mission, 'Freedom to Move', Volvo Cars is evolving to become a direct-to-consumer services provider. Future mobility solutions demand major upgrades of monitoring capabilities, predictive maintenance and vehicle health algorithms. This is accomplished by a strictly data driven way of working, competent and curious co-workers and end-to-end responsibility. The ability to read out and process data from our cars are key factors for future connected services, autonomous vehicles and next generation electrical systems.

We are part of an agile product development organization with SAFe as a way of working and in our ART Complete Vehicle Diagnostics the mission is to ensure that customers’ vehicles are diagnosed accurately, reliably as quickly as possible, and with the feedback mechanisms such as continuous integration to enable continuous improvement.
We are a society of highly skilled engineers inspiring and creating solutions with data analytics, C/C++ / Java/Python, cloud application, Machine Learning and AI. Join us to become part of a new future within intelligent automotive.

What do we do?
Our team is working with predictive engineering, implementing so called models and monitors in different mechatronic part of the vehicle. The purpose is to monitor behavior and usage to identify unknown state in the system. This will give us an advantage being ahead of the system behavior and to keep the system operating with minimum impact for the driver.

You will be involved in the development process from concept to industrialization, meaning designing, implement and verify functionality in embedded systems. Besides development in C++ and Python a big part of the work is working with data and develop models based on mathematics. This includes as well testing on test objects, on-board and off-board, through development.

Welcome to a service minded team, working cross functional at product development and bring new knowledge to our company.

What do you need to know?
You need to be a skilled programmer with high analytical skills. You need to be good at
* C/C++ and Python
* Big data analytics
* Machin learning – deep learning

We see preferably that you have an university degree within mathematics/statistics or machine learning engineering. 

What is nice if you know
We use many tools and apply many standards. We do not expect that you know them all, you will learn them on the job. Examples of tools, frameworks and standards that we use are
* UDS (Universal Diagnostic Service)
* XCP (Universal Measurement and Calibration Protocol)
* DLT (Diagnostic Log and Trace)
* Git
* Kafka
* MQTT
Network communication, e.g. CAN and TCP

Who you are
You are flexible, have excellent communication and documentation skills. You have a positive attitude and are a supportive person to your colleagues and also team oriented.

You are eager to learn with a growth and agile mindset and have a genuine interest helping Volvo cars reach its goals in the diagnostic and data development journey. We believe you are self-managed, in order to fully succeed you need to be well organized and proactive in your work. We work with the agile development method SAFe so an understanding or certification is meritorious.

How to learn more and apply?
If you have any additional questions regarding the position, you are welcome to contact Hiring Manager David Sabeti Rad at [email protected]. For questions regarding the recruitment process, please contact Recruiter [email protected].

To apply, please register your profile and attach your application documents via our system as soon as possible, but no later than June 22nd. Note that due to GDPR, applications by e-mail will not be accepted.