Senior ADAS SubSystem Architect

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
• A minimum of 3 years experience with ADAS global architecture and main constraints including ADAS Sensor know-how, interface development, EE Architecture Topologies constraints
• Expertise with Failure Analysis & SOTIF
• Excellent at models & simulation
• Validation strategy (HIL/MIL/VIL) definition
• System Engineering, Functionnal Objectives, System Behavior definition
• Very good knowledge of Matlab / Simulink (2016 or 2020) for Models
• Familiar with resimulation tools (MIL, Carmaker….)
• Strong interpersonal communication, team/leadership skills/experience