Technical Director of Controls

Faith Technologies • Menasha, WI

1d

About The Position

You’ve discovered something special. A company that cares. Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully growing to meet market demands. And ─ as “one of the Healthiest 100 Workplaces in America” ─ is focused on the mind/body/soul of team members through our Culture of Care. As a Technical Director of Controls Engineering in the R&D group, you will provide leadership for developing control systems for electrical, thermal, and mechanical systems used in distributed energy resources and power distribution. Collaborating with subject matter experts, research engineers, product strategy teams, and systems engineers, your team will create accurate and efficient control systems, optimization, and analytics algorithms to support technologies and products development within the Product Engineering organization. Through your expertise, you will play a key role in driving innovation and performance improvements in distributed energy and power distribution systems.

Requirements

• Education: Master's degree in engineering, Computer Science, or related field. Ph.D. in Engineering, Computer Science, or related field preferred.
• Experience: 15+ years of experience in controls systems design, optimization algorithms, AI, and predictive analytics
• Proficiency in time-domain simulation software such as MATLAB, Simulink, or similar tools for controls systems design, pure simulation, or real time operating platforms
• Experience with Python, C++, or similar environments for development of optimization tools and controls logic
• Knowledge of multi-physics modeling software such as Simscape, Simcenter Amesim, GT Suite, or similar
• Experience with HIL platforms including dSpace, speedgoat, NI, or others for testing of controls systems
• Experience or familiarity with control system design, PLCs, or SCADA systems for microgrids
• Experience with implementation of automated continuous integration and deployment processes for software deployment
• Strong understanding of renewable energy systems including solar, wind, power conversion, and battery energy storage systems.
• Knowledge of power distribution concepts including uninterrupted power supply and power converters
• Experience with management systems for battery energy storage, control of thermal management systems, optimization algorithms for energy management systems
• Experience using version control for software, modeling and simulation including Git or other similar tools
• Must have familiarity with R&D processes, R&D documentation, and technical acumen to present to both technical and non-technical audiences
• Travel: 5-10%
• Work Schedule: This position works between the hours of 7 AM and 5 PM, Monday- Friday. However, work may be performed at any time of the week to meet business needs.

Nice To Haves

• Ph.D. in Engineering, Computer Science, or related field preferred.

Responsibilities

• Lead control system design, implementation, and validation for innovative technology and product development for AI, Machine Learning, and predictive algorithms
• Lead a team to develop proof-of-concept distributed software algorithms to support emerging AI and optimization systems and provide functional recommendations to software and hardware design teams
• Collaborate with component and domain subject matter experts to translate functional requirements into system controls, optimization, and diagnostics algorithms
• Lead development and implementation of AI, Machine Learning, and optimization algorithms following a model-based development approach for a variety of electrical, thermal, and mechanical systems and eco-systems for distributed energy resources, energy management, and power distribution
• Lead processes for design of complex controls systems in a physics-based modeling and simulation environment ahead of hardware implementation, edge, or cloud implementation
• Utilize DOE, optimization methods, and data driven modeling and analysis tools
• Lead the definition of AI, optimization, and predictive algorithm software roadmaps and capability for R&D and Product Engineering
• Performs other related duties as required and assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 501-1,000 employees