Verification & Validation Analytics Engineer – Autonomous Driving

Everybody is talking about shaping the future… we are not… we are doing it. How?


We are developing Self-Driving vehicles, thus…


We are developing Autonomous Driving, thus…


We are really shaping the future!


We are aiming high – the best Self-Driving trucks developing team in the world!


You want to be a part of it?


This is us, your new colleagues


Volvo Autonomous Solutions is developing the first generation of Self-Driving vehicles, which will redefine the commercial transport solutions that most of us rely on every day. We are unified by diversity, great ideas, and inclusiveness. Our colleagues are the most important part of the story. Everyone matters and plays a critical role in our journey.


Global Technology Area Verification & Validation – GTA V&V is driving several major activities within Autonomous Driving development chain including AD Integration, Verification & Validation, System Integration, Transport Mission testing, and Data Analytics.


The Analytics & Methodology team within GTA V&V is driving innovative AD test analytics, method development, and test execution as part of System Verification and Validation of AD products. The test environments used are SIL/HIL based simulators and different data analytics/statistics tools. You will work alongside talented group of colleagues who respect each other’s differences and seek to understand fresh perspectives.


We are going through a major growth to become the world leading Autonomous Driving Verification & Validation organization. As a part of this fantastic journey, we are now in need of a Verification & Validation Analytics Engineer, with the drive and passion to embrace this possibility with an attitude of always striving to be the best in the world whatever you do.


The position will be located in Gothenburg, Sweden.


What we have to offer


As a Verification & Validation Analytics Engineer, you will analyze Use Cases and application sites of our Automated Driving solution. By using different mathematical/statistical methods/tools you will perform characterization and decomposition of relevant operational driving domains and dynamic driving tasks. You will also identify relevant scenarios to be tested, create evaluators, and generate quantifiable performance metrics/KPIs. Through coverage driven testing in Closed Loop Simulator you will apply the results of the analytics to uncover the limitation of our system, improve confidence and reduce the residual risks as core effort of validating the reliability and safety of our Automated Driving solution.


Who are you?


We believe it is the right mindset that will make a difference within our organization. If you see yourself working in an environment that challenges you to combine your theoretical strengths with a more hands-on attitude, then we believe you have the right attitude to be successful. To quickly grasp the main points of complex matter is in your bones. You are a holistic personality with the ability to see the bigger picture and you love the challenge of finding efficient solutions. If you have worked with data analytics and visualization of data, this is the role for you! Other requirements we see beneficial for the position are:
Master's degree in Physics Engineering, Mathematics/Statistics, or equivalent professional experience
PhD in relevant area is a merit
Documented experience as Data Analytics Engineer
Experience in AD/ADAS Functional Development/Testing
Experience in HIL/SIL based Closed Loop Simulation



At V.A.S. we are passionately working to establish teams that will take maximum advantage of the strength inherent in differences in knowledge, experience, age, gender and nationality, etc. We find that well balanced working teams increases group dynamics, creativity and innovative approaches to solutions.




Curious, and have some questions? Contact me!


Katarina Raaholt Larsson, katarina.raaholt.larsson@volvo.com


Kindly note that due to GDPR, we will not accept applications via mail. Please use our career site.