As a Data Platform Specialist, the candidate will be responsible for contributing to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated autonomous driving functionalities.
The candidate will contribute in the design and implementation of solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models and for functional validation. In addition, the candidate will support machine learning and artificial intelligence scientists to scale their algorithms to Autonomous Driving big data.

In the daily work, the candidate will operate in an international and interdisciplinary environment and collaborate intensively with our high-tech industry partners.

Specialties and soft skills:
– Combination of business focus, strong analytical and problem solving skills and programming knowledge to be able to quickly define solution hypothesis through the discovery phase within the different business initiatives.
– Strong teamwork, excellent written and communication skills: ability to communicate findings to both business and IT leaders in a way that can influence how to approach the business challenge.
– Pro-active attitude
– Ability to work independently
– Passion for Innovation.
– Enthusiasm for software and automobiles

– Fluent in English and Italian (written and spoken).
– Good German language skills would be a plus.
Additional skills and experiences:
● 2+ years of industrial experience on the Hadoop ecosystem (e.g. Yarn, MapReduce, Spark, HBase, Kafka, etc.)
● 5+ years of experience in software development in one of the following languages: Java, Python, Scala
● Very good practical experience of software development in C++
● Experience with relational SQL and NoSQL databases
● Understanding of concepts and practical experience in software engineering (including Docker)
● Deep knowledge in distributed processing principles and frameworks
● Working experience in automotive data processing would be a plus
● Background in data analytics would be a plus
● An in-depth knowledge of machine learning techniques (including deep learning) would be a plus
● Experience working with ML frameworks like TensorFlow would be a plus
● Experience in modelling complex big data architectures would be a plus
● Experience in working according to agile methodologies (e.g. Scrum, LeSS)
● knowledge of Microsoft Office tools (in particular PowerPoint, Word, Excel)

Year of Experiences:

5+ years
Education:

A university degree in Computer Science or a comparable qualification