Experienced Python Developer for Analytics & Management in Autonomous Drive

Volvo Personvagnar AB / Datajobb / Göteborg
Observera att sista ansökningsdag har passerat.


Visa alla datajobb i Göteborg, Mölndal, Partille, Kungälv, Lerum eller i hela Sverige
Visa alla jobb hos Volvo Personvagnar AB i Göteborg, Borås, Falköping, Götene, Skövde eller i hela Sverige

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.

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 BSc. MSc. in Computer Science, Statistics, or a relevant Engineering discipline.
• Need strong programming skills in Python.
• 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 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 in the team. Fluency in English language, 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.

Varaktighet, arbetstid
Full Time Permanent

Publiceringsdatum
2022-09-27

Ersättning
Undefined

Så ansöker du
Sista dag att ansöka är 2022-10-11
Klicka på denna länk för att göra din ansökan

Företag
Volvo Personvagnar AB

Arbetsgivarens referens
Arbetsgivarens referens för detta jobb är "62048-40649613".

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Volvo Personvagnar AB (org.nr 556074-3089), https://www.volvocars.com/

Arbetsplats
Volvo Car Corporation

Kontakt
Danny Axiotis
031-325 00 77

Jobbnummer
7020419

Observera att sista ansökningsdag har passerat.

Prenumerera på jobb från Volvo Personvagnar AB

Fyll i din e-postadress för att få e-postnotifiering när det dyker upp fler lediga jobb hos Volvo Personvagnar AB: