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. Who we are: We are looking for an experienced Senior Softeware Engineer - Java developer to join our group (AD and ADAS Analytics) at Safe Vehicle Automation, Volvo Cars. Reliability is at the core of the future of our AD solution at Volvo Cars. Therefore, we are forming a new team in our group with a focus on “fleet risk analytics and management” for our AD solution. The AD fleet risk management team will take on a variety of challenging problems from deriving insights from usage of the fleet to securing AD operational safety. This team will be responsible for: • Leading the vision, strategy, and roadmap of reliability/risk analytics. • Developing statistical packages to automate reliability analytics and residual risk quantification. • Test case generation strategy and method development for completeness argumentation and AD residual risk analysis. • Working with vehicle fleet data to provide insights on the reliability of AD functionality and providing data-supported input for operational safety decision making. • Analyzing data from selected events during unsupervised driving. For this role, you will: • Need to have a BSc. MSc. in Computer Science, Statistics, or a relevant Engineering discipline. • Need strong programming skills in Java. • Experience with data analysis and statistical learning. Experience in areas below will be considered as merit: • Quantitative reliability/risk analysis • Machine learning development • Financial risk analytics • Verification and validation of ADAS/AD software • CI/CD pipeline development, e.g., Git, Jenkins Do you fit the profile? We also assume that an agile, cross-functional, and collaborative way of working is natural for you to reach high-quality results in time. You are expected to be a committed and trusted team member and feel that the team’s achievements are essential to you. We also believe that you have a drive to learn continuously and are flexible to broaden your experience to fit the needs of the team. Fluency in English, both spoken and written, is required for the role since we are a global company and have diverse teams with colleagues from all over the world. We want your application at the latest 3rd October 2024.  Please note that applications via email will not be accepted due to GDPR and we would like your application written in English.