Junior ADAS Validation Engineer

The Advanced Driver Assistance/Automated Driving (AD/AD) Systems Team is actively searching for talent to fill open positions with individuals specializing in Automated Driving System Engineering focusing on designing system's functionality, behavior, and interoperability of customer based Automated Driving Features as integrated into EE architectures.

Space where you can develop yourself:

• Focus on Innovation and R&D: while working at Capgemini Engineering, you will be using cutting-edge technologies to work on global international projects (both large scale ones and start-ups) to gain multi-sector expertise;
• Training/Learning opportunities: external courses, education & certificates co-funding, 70+ certification preparation pathways with further certification (e.g. MS Azure, AWS, Google) on our NEXT learning platform, as well as a free access to Pluralsight, Service Now, TED Talks, Coursera courses, and virtual trainings.

A lot of benefits:

• Elastic working hours/working models;
• Private medical care which can be extended by a package of dental services purchased on preferential terms;
• Private life insurance which can be extended by oncology package purchased on preferential terms;
• Referral bonuses for recommending your friends to Capgemini;
• Access to ourNais benefit platform (40+ options available: Netflix, Spotify, Multisport, cinema tickets, etc.);
• Offices in great locations, car leasing program,carpooling options, and bicycle parking.

• The selected candidate will be immersed in a hands-on role, working with state of the art technologies, in a field experiencing rapid year over year growth. 
• This team and the selected candidates are responsible for developing the architecture, associated system level requirements, interfaces, state machines and failover/diagnostics to enable ADAS and Highly Automated Driving functions at a level ready to be utilized as an “off the shelf” deployment into production vehicle platforms. 
• Come join the automated driving revolution, make a difference, and apply today!

What do you need to start?

• A minimum of a Bachelor of Science degree in Applied Physics, Mechanical, Electrical, Aerospace, Computer Engineering, or Computer Science
• Prior experience working with automotive serial data logging and rapid prototyping equipment (Vector CANalyzer, ETAS INCA, etc.)
• A demonstrated ability to apply numerical methods and applied statistics to testing datasets
• A demonstrated ability to develop and write requirements-driven test procedures
• Strong interpersonal communication, team/leadership skills/experience

It's not essential, but we appreciate if you also have:

• A working level understanding of automotive DVP&R and PPAP product validation and release cycles for electronic components.
• Experience with industry standard requirement management tools (IBM DOORS, Siemens Polarion, etc.)