Principal Systems Engineer

Country:

United States of America

Location:

CAG10: ALC HQ 1025 Cobb Place Blvd, Kennesaw, GA, 30144 USA

Carrier is a leading provider of heating, ventilating, air conditioning and refrigeration systems, building controls and automation, and fire and security systems leading to safer, smarter, sustainable and high-performance buildings. As Carrier emerges as an independent, standalone company, the Carrier Global Engineering organization is transforming.  This new multi-site organization will ensure Carrier’s lead position in the market through investments in advanced research, technologies and methods that will shape the future of our products.

Willis Carrier invented the first modern air-conditioning system in 1902 and changed how people live, work, and play. Today, Carrier needs your talent to build upon this legacy and to deliver what’s next for the modern world.

About this role

The Computational Engineering group within Systems & Controls COE (Carrier WHQ) has responsibility for developing and deploying model-based methods and tools for design and operation of Carrier products. This includes using mathematical models for taking product design decisions, quantification of system uncertainty, and securing efficient operation in the field. The core technology areas of the group are large-scale continuous and discrete optimization, variability analysis, data analytics, machine learning, numerical and algorithm analysis, as well as understanding requirements for mathematical models to be reliably used by numerical algorithms. The group also develops and maintains computational platforms and tools for deployment to Carrier product teams. Engineers in the group work on global projects in conjunction with Carrier business units and renowned external research organizations (universities and research institutes) to create worldwide business impact through new product and process innovations.

Position Summary:

The candidate will provide technical leadership in the area of numerical optimization of thermo-fluid systems which are core to the Carrier business – including design and deployment of product design methods, sales tools, and on-line supervisory controls.

The candidate will engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how Carrier products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of Carrier systems. The candidate will take active part in product development to support design engineers in adopting and using new methods and tools. The candidate will also work closely with other teams in Systems & Controls COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). In addition, the candidate will contribute to mentoring of junior engineers in the group, supervision of student interns, organization of optimization trainings, and technology roadmap development.

Key Job Responsibilities:

• Deployment. Ensure that methods and tools developed in the group impact the Carrier business through engagement in global product projects, including capture and formulation of computational problems arising in such projects that relate to “supervisory” control formulations, trade studies and implementation. Use control theoretic tools for robustness and stability guarantees in addition to performance optimality.
• Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for designing dynamic, optimal supervisory control are based on sound mathematical foundations and are deployed to match the needs of the Carrier business.
• Modeling for dynamic supervisory control based on optimization formulations. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms for control applications.
• Talent. Support development and training of staff within Carrier product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and these

Required Qualifications:

• Master’s Degree in Engineering or Sciences
• 10+ years in engineering role with a strong element of model-based computation and optimization 

Preferred Qualifications:

• PhD is preferred
• Prefer degree in an Engi