YOUR FUTURE TASKS

Main mission:

· Design and develop clean and highly scalable code for ADAS and Autonomous Driving stack

· Provide hands-on technical guidance and actively contribute to the technical growth of the team

· Test your solutions on SiL, HiL, ViL and on the real vehicles

· Analyze and translate complex functional requirements into code

· Develop SW Modules in C/C++ language with solid command of the most common data structures and algorithms for real-time system (Linux OS, QNX)

· Ensure the development following design methods and latest software quality standards (MISRA, SPICE)

· Manage SW integration module within AUTOSAR (Classic and Adaptive) framework

· Manage SW versioning with Git/GitHub or other versioning tools

· Lead his activity with the team by showing strong communication, collaboration, analytical and problem-solving skills

WHAT WE OFFER

· Competitive compensation package.

· Your education doesn’t have to stop! We offer extensive training & learning opportunities and paid certification programs for your career evolution.

· Structured career progression - at Reply we encourage career growth.

· We have a start-up heart. Guaranteed hands-on experience, flexibility, table footballs and free coffee.

· We dream worldwide. We have the structure to make your ideas matter. We partner with major groups over 4 continents.

· Diverse and vibrant work environment - you’ll be surrounded by peers who share your passion for technology.

· Opportunities to get involved in Hackathons, Code Challenges and Lab

YOU HAVE

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

· Experience in autonomous systems applications

· Good command of Python

· Experience in Agile software development

· Good knowledge in System Engineering, Model-based System Engineering, and associated tools (SysML, Doors …)

· Good command of one or more of the following: Linear Algebra, Kinematics and Optimization

· Experience in developing artificial intelligent (AI) / machine learning (ML) / computer vision applications

· Solid experience in design of safety-critical systems (RAMS, SOTIF)

· Solid background of control & command algorith

· Solid knowledge of related sub-systems (Powertrain, Chassis, HMI, Sensors)