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Mbd Chief Architect

2 months ago

South Milwaukee, United States Eaton Full time

Eaton’s $10B Revenue Electrical Sector - Americas (ES-A) seeks a Model-Based Design (MBD) Chief Architect. This Chief Architect will help ES-A to innovate and drive substantial transformation in MBD, with a specialized focus in Advanced Control Systems, Machine Learning (ML), and Artificial Intelligence (AI). This Chief Architect will work with the ES-A Divisions and the global sector. This role is a hybrid position, and the preferred locations are our Electrical Sector hubs in Moon Township, PA (Pittsburgh) or Raleigh, NC. Relocation assistance is available to one of these locations. Our other sites in Wisconsin (Franksville, Milwaukee, or Waukesha), Atlanta, GA, Southfield, MI, or Chicago, IL could also be considered. Up to 30% travel is expected.

**What you’ll do**:
As Chief Architect, you will be an integral member of an interdisciplinary Model-Based Design product development team. In this position, you will support the different divisions of the Electrical Sector Americas to drive complex and innovative control systems design, from architecture down to detailed implementation. You will partner with Firmware, Hardware, Software, and Systems architects, along with other groups to define the best strategy to implement complex and innovative logics and sensing into our products. In addition, you will lead the successful transfer of technologies coming from our research partners (ex. CIP-Center for Intelligent Power, Eaton Research Labs, and others), and other strategic external partnerships to our divisions. We expect this position to own MBD process for industrialization of MBD Control artifacts involving advanced controls and ML / AI Based algorithms.

Essential Functions
- Model-Based Design Framework for Advanced Control Systems, ML / AI based Algorithms: Establish best-in-class MBD frameworks, including Architecture, Design, Testing, Code generation and Integration with FW / SW.
- Educate / mentor engineers and leaders across the organization around Advanced Control Systems, ML / AI technologies and MBD, to create a culture shift that allows capability growth, standardization, and organization engagement.
- In collaboration with other Architects and engineering leaders in ES-A Divisions, this person will be also responsible for short and mid/long term roadmaps on Model Based Design for advanced control systems, ML / AI based algorithms, covering areas like toolset standardization, Architecture, Development and Testing processes, code-generation, and solution industrialization.
- Hands-on engagement on different projects across ES-A Divisions with MBD (Control Systems Architecture and Design, Code-Gen, FW Integration, etc.) collaborating with other MBD Architects (taking the role as a project individual contributor when necessary).
- Serves as a Subject Matter Expert Advanced Control Systems, ML/AI Algorithms with Model-Based Design, driving the competence strategy and execution for Eaton Electrical Sector America in all required forums (external to Eaton, other Eaton groups, across ES/A divisions).

**Qualifications**:
Basic Qualifications:

- Bachelor’s degree from an accredited institution.
- Minimum of 10 years of professional experience.
- Minimum 7 years of experience with Complex Control Systems Architecture Design, including interfaces with Firmware and Hardware.
- Subject Matter Expertise in Model-Based Design applied to Control Systems, including leadership on educating, collaborating, and influencing organizations to adopt and engage with Model-Based Design within a multinational organization.
- Must be able to work in the United States without corporate sponsorship now and in the future.
- Ability to travel around 30% of the time, supporting the different divisions within ES/A.

Preferred Qualifications:

- Master’s degree or specialization in Control Systems preferred.
- Experience with system modeling languages to represent architectures like SysML is a plus.
- Ability to work in a heavily matrix environment, and with the involvement of several stakeholders and process partners, requiring strong leadership, negotiation, and system level mindset.
- Experience working with a Global and Decentralized organization.

**Skills**:

- Machine Learning and Artificial Intelligence based algorithms with Model-Based Design: full proficiency on developing advanced algorithms and estimators based on Machine Learning and Artificial intelligence with MBD as, for instance, Neural Networks, Reinforcement and Deep Learning. Application experience should include use cases like Predictive Maintenance, Adaptive Control, Fault Detection, System Identification, Performance Optimization, etc.
- Control Systems Theoretical Knowledge: SISO / MIMO systems, covering a wide range of control design techniques (ex. PID, Parameter Estimation, Kalman filter, Model Predictive Control, Fuzzy logic, etc.)
- Control Systems Model-Based Design: proficient in complex controls modeling with tools like Simulink / Statef