Assignment Description 

Our client in the automotive industry is now seeking a Software Engineer Vehicle Motion Control – Diagnostics & Dependability.

They are building a computer-in-the-car architecture, a key for enabling innovation within areas such as Advanced Connectivity, Machine Learning, and Autonomous Drive. Their mission is to create a Vehicle Control Unit platform using new technologies in combination with more traditional car signalling technologies. Within the unit Safe Vehicle Automation (SVA) and the department Vehicle Motion Control (VMC), they create the most energy efficient and rewarding drive experience by passionate engineering. Within LVC (Longitudinal Vehicle Controls), they focus on balanced agility, energy efficiency, and drivability. The Controls team is responsible for development of control algorithms for ensuring safe torque and power distribution, as well as balancing of attributes connected to longitudinal control. The team is responsible for function development, testing and related diagnostic monitoring of propulsion and brake systems for hybrid and electrical vehicles. The delivery consists of software functionality that, amongst other, identifies inaccuracies, prevents critical events, and mitigates the effect of potential faults.

What you will do
Our client is looking to strengthen the teams with a Software Engineer with experience in Diagnostics and Dependability. As a Software Engineer for Longitudinal Vehicle Controls, you will become part of the Vehicle Motion Controls family.

• With your experience within Motion Control, automotive control systems, or powertrain, you will implement and test new and existing diagnostic functions on application level.
• You will write and review requirements according to ISO-26262, as well as document them in a thorough manner.
• You will evaluate data from the customer field and improve their functionalities. Furthermore, typical aspects might be how to integrate their software more automated and robust, how to find errors as early as possible, or how to minimize turnaround times.
• Your contribution will be crucial to build the freedom to move in a personal, sustainable and safe way.

• You have been working 5+ years on model-based automotive software development for safety-critical embedded systems
• You have extensive experience in development of Diagnostics & Dependability functions on application level from powertrain control, including DTC setting (Diagnostic Trouble Code) and DCL setup (Data Condition Logger)
• You have profound knowledge of safe model-based control in Matlab/Simulink/Embedded Coder, and TargetLink
• You have knowledge from ASIL software components according to ISO-26262
• You have experience in SiL/HiL testing environments, as well as in-vehicle testing
• You have knowledge in programming and scripting, using C, C++, and Python
• You hold a driver license class B valid in Europe and have the ability to travel
• You are fluent in spoken and written English
• You are a holder of a university degree within Mechatronic Systems, Electrical Engineering, Mechanical Engineering, Computer Science, Applied Physics, or similar

Meritorious:

• You have experience from Motion Control or adjacent powertrain control areas
• You have insight in all stages of software deployment, following ASPICE and V-model
• You worked with CANoe, CANalyzer, Jenkins, JIRA and Confluence
• You have experience from CapitalNetworks, RobotFramework, or Polyspace
• You worked with communication protocols using AutoSAR Classic, Elektra, Trace32/Lauterbach
• You are an excellent networker and surely cross-functional with great communication skills
• You are keen on spreading your knowledge amongst your co-workers