The newly shaped Software Organization is currently seeking brilliant AD Simulation Senior Software Developers to join the Autonomous Driving software team.

As an AD Simulation Senior Software Developer you will be required to develop, integrate and deploy clean and highly scalable code for our SiL platform to test and validate our Autonomous Driving stack. You will also develop solutions to orchestrate large-scale simulations on-premise and on-cloud platforms to ensure the reliability of the future L2 and L3 autonomous driving product through testing for billions of kilometers. As a senior member of the team, you will also be expected to provide hands-on technical guidance and to actively contribute to the technical growth of the team.

Profil

Basic Qualifications

Master's Degree in Computer Engineering, Computer Science, Robotics, Mechatronics or similar.

Excellent programming skills in C++ and Python

Solid command of the most common data structures and algorithms

Experience in software design methods and latest software quality standards (MISRA, SPICE)

Proficient in Linux OS

Proficient with Git/GitHub or other versioning tools

Good knowledge of ADAS/AD systems, components, features and related control theory

Experience with operating system virtualization (e.g. Docker and Kubernetes)

A proven track record in agile software testing, test-driven development, continuous integration (e.g. Jenkins) and testing infrastructure (e.g. SIL and HIL)

Knowledge on automotive communication protocols (CAN-FD, SOME/IP, ..)

Knowledge on communication bus for automotive applications

Excellent communication, collaboration, analytical and problem-solving skills

Fluent in English

NIce To Have

A PhD in a related field

Expertise in developing simulation software for self-driving cars (e.g. Carla, CarMaker, dSpace)

Experience in AUTOSAR classic and adaptive platforms

Experience in ECUs virtualization methods for full stack virtual validation

Good programming skills in Matlab/Simulink

Experience with modeling and simulation of physical plant models for ADAS/AD xIL platforms

Good programming skills in C#

Experience working with autonomous systems, ADAS/AD sensors, automotive network technologies

Knowledge of safety-related methods like ISO26262 and SOTIF

Experience of working within an AGILE or Scrum framework

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.