We are looking for a senior engineer to dive deeply into intelligent automotive digitalization engineering. You will study and analyze the process, tools and methods that are/will be most used for intelligent automotive product development to meet the digitalization trends and challenges. You will also provide technical insights and recommendations for building industrial 4.0-oriented digital design, architecture, and testing of automotive systems.
The main tasks are described below and will be performed agilely with agreements.
1. Under the study of industrial 4.0 of digital design, automation design and intelligent design industry-leading practices and the latest development trend, develop the product-oriented digital design capability improvement roadmap and promote solutions.
2. Technology analysis and strategy development in the industry of digital design tools, methods, and processes, from the product requirement -> system-level system architecture design -> system simulation modelling ->detailed design verification, and achieve end-to-end digital design, the final substituting virtual prototype for physical prototype verification, and improve development efficiency.
3. Constructs a digital twin environment, streamlining and development and production, procurement, supply chain, and data flow, and implement research and development to the back-end seamless transition.
4. Research MBSE, RFLP, Digital Twin technologies, such as model-based collaborative development environment, and modelling languages, e.g., Modelica and SysML, build an end-to-end (including research and development, supply, manufacturing and delivery) of the shared data source and structured development process.
For the first iteration, the following technical reports on the automotive system of systems to be delivered:
Roadmap and technical strategy on the process, methods, and tools: both in terms of platform and hardware, SW architecture, tool selection, components of OpenSource character, etc.
Current trends, standards, and external requirements (ISO26262, Cybersecurity, SUMS, etc.) affect the development process.
At an overall level - what differences can be seen against other industries, e.g., ICT
Advanced projects today, how do they move from the traditional automotive components? For example. AD / ADAS, active and passive safety, electric motors versus internal combustion engines and the differences between having a centralized control system versus having the control distributor over more hardware-controlled control units (e.g., engine control system + ABS control system compared to having a centralized control system.
The second iteration will be based on discussion and agreements after the first iteration.
10-20 years of research or automotive industry experience in related fields; the research results have been successfully applied for researchers.
Familiar with automotive tools from the requirement to architecture, system design and software implementation;
Familiar with MIL-SIL-HIL-VIL environment;
Familiar with the automotive software development processes, tools and standards.
Familiar with SysML/UML modelling tools such as Sparx EA, Dassault CSM or IBM Rhapsody.
Fluency in English.
If you have any questions, please contact Karin Persson.