Beschreibung
Für ein neues Projekt bei einem unserer Kunden, einem Zulieferer der Automobilindustrie für Fahrerassistenz Systeme, suchen wir einen Tool Engineer KPI Analysis and Data Management (w/m).
Aufgabenbeschreibung:
- 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
Kenntnisse / Erfahrung:
- 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
- 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)
- Profound technical knowledge of automotive autonomous driving and object detection
- Knowledge of product development engineering practices in the automotive field (e.g. Requirements management, Configuration management, Change management, testing and review techniques)
Dauer: 6MM++
Start: asap
Einsatzort: PLZ 6