Our client is one of the largest global Tier 1 suppliers to the Automotive industry and they are responsible for the largest Autonomous driving project in the car industry. We are collaborating with the client and pulling together an all-star team

Scope of work:

• Design and implement software architecture for KPI analysis tooling
• Implement software according to MISRA and Functional Safety requirements
• Design data interfaces for high performance data access on big data structures
• Work close together with IT- Infrastructure team to apply KPI Tooling requirements
• Develop and document system tool, requirements architecture and design
• Manage tool projects by comparing of plan (schedule) vs. progress
• Develop and extend tools, troubleshooting and fix tool defects based on ALM tickets.
• Acquire, develop, understand and document system tool requirements.
• Manage and negotiate system tool requirements, change requests and unwritten expectations.
• Specify test cases according to the system tool requirements.
• Plan and estimate tool development
• Review design documents like requirement specifications, test specifications, Architectures, etc.
• Create tool documentation for user
• Execute tests and review for tool releases and documentation ensuring that the system tool performs per requirements.
• Support of internal and external customer by delivery, maintenance, troubleshooting and improvements of implemented tools

Requested Knowledge:

• Master’s degree in software engineering or equivalent studies
• Profound technical knowledge of automotive autonomous driving and object detection
• Experience in big data solutions and KPI tool development
• Knowledge about Automotive Spice and ISO 26262
• Knowledge about ECU architectures (features, components, communication)
• Knowledge of ALM tools (prefers PTC Integrity)
• Working knowledge of ADTF and ROS based tools
• Extensive knowledge in the programming languages, C++, Matlab and Python
• Capable to lead sub-supplier team and track progress

Skills:

• Experience in big data solutions and KPI tool development
• Extensive knowledge in the programming languages, C++, Matlab and Python
• Knowledge about ECU architectures (features, components, communication)
• English and German

Sector know-how:

• Profound technical knowledge of automotive autonomous driving and object detection

Additional Skills:

• Knowledge of product development engineering practices in the automotive field (e.g. Requirements management, Configuration management, Change management, testing and review techniques).
• Highly efficient independent and team-oriented working.

Social Skills:

• Team Player
• Criticism ability
• Constructive attitude
• Innovative

Language:

• English proficiency
• German required