Digital Engineering Expert

For a customer we are currently looking for a Digital Engineering Expert to strengthen a customers systems engineering infrastructure and accelerate development processes for AI powered safety critical systems. The expert will build a rigorous MBSE capability that facilitates rapid scaling of fast-growing automotive business. This expert extends the engineering process infrastructure to enable robust MBSE and Model-Based Design (MBD), to implement digitalization tools and methods into the product development, and will act as a leading expert and technical director, lead the team to build industrial 4.0-oriented digital designs and architectures, and support the digital engineering for AI powered systems.

Main Responsibilities:

1. In the industry digital design tools, methods, and processes, achieve end-to-end digital design, final substituting virtual prototype for physical prototype verification, and improve the development efficiency.

2. Constructs a digital twin environment, streamlining and development and production, procurement, supply chain, data flow, and implement research and development to the back-end seamless transition.

3. Act as a deep subject matter expert on all aspects of model-based systems engineering, including developing appropriately tailored simulation & analysis methods to generate robust requirements for defensive driving and other complex autonomy behaviors;

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.

Job Requirements:

1. MS or Ph.D degree in robotics, mechatronics or other automation-centric field, including systems engineering, control engineering, software engineering, electrical engineering, robotics, or a related engineering field;

2. 8 years of experience in MBSE, including experience using MBSE in highly-regulated safety-critical industries like automotive, aerospace and defense, or medical robotics;

3. Deep competence in at least one core robotics and autonomy discipline, especially systems control, embedded software, or artificial intelligence & machine learning (AI/ML); Strong knowledge and experience in safety systems/cyber physical systems

4. Experience integrating optimization-based methodologies into architecture design and analysis;

5. Familiar with SysML modeling tools such as Sparx EA, or Dassault CSM or IBM Rhapsody.