Senior Controls Engineer

About Carrier:

Carrier is the leading global provider of healthy, safe, and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter, and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day.

Join us and we can make a difference together.

The Controls COE is focused on delivering innovative and robust designs for equipment and system control. We serve the entire Carrier product portfolio, offering a unique opportunity to engage with multiple business units across the company. We support the design, development, test, troubleshooting, and maintenance of the controls within the system, offering the controls engineer experience in everything from conceptual design to lab testing and field trial support.

We do all of this with a passion for delighting our customers, having fun, and showing genuine respect for our teams.

This role can be worked onsite in Atlanta GA, Indianapolis IN, or Syracuse NY.

• Independently develop production ready controls solutions ensuring customer and technical requirements are satisfied, and standard procedures are followed
• Support project management with the definition of suitable plans for development and verification, conduct stakeholder technical reviews.

• Perform dynamic analysis of non-linear systems in development of control algorithms including system identification, cont rollability, robustness, stability, and optimization
• Work with system engineers to develop requirements, and subsequently ensure controls requirements are satisfied and verified
• Recommend updates to equipment design efforts based on control objectives versus system performance capability
• Support the development and calibration of physics-based plant models

• Develop & execute unit-tests & integration tests for control system
• Perform hands‑on testing in psychrometric laboratory and analyze results to direct refinements to plant model fidelity and control algorithms
• Apply best‑in‑class strategies to push testing further upstream in the development lifecycle (MIL/SIL/HIL)

• Support strategic initiatives to improve organizational quality and efficiency through technology advancement and process improvement

• B.S. in Electrical, Control Systems, Mechanical, Chemical Engineering major, with at least 5 years of relevant experience
• OR
• M.S. or Ph.D. in Electrical, Control Systems, Mechanical, Chemical Engineering major, with at least 3 years of relevant experience

• Proficient knowledge of controls engineering foundations, including feedback control, linear/nonlinear control, multivariable control, system identification, and optimization
• Proficient in the use of Matlab-based toolsets to design, implement, and test embedded controls algorithms
• Proven ability to work independently with limited supervision
• Excellent communication skills and a proven track record of delivering results through effective teamwork
• Ability to work hands‑on in psychrometric laboratory environment to collect and analyze data
• Experience with industrial control applications
• Familiar with PLC or AUTOSAR styled embedded architecture
• Experience with vapor-compression cycles, including heat exchangers and turbo machinery compression technologies
• Expertise in heat transfer, two‑phase flow, and thermodynamic cycle analytical skills
• Experience with software development lifecycle best practices, including version control, change management, release management
• Experience in requirements management and system integration, specifically test strategies across model‑in‑the‑loop (MIL), software‑in‑the‑loop (SIL), and hardware‑in‑the‑loop (HIL) domains
• Strong technical writing skills with ability to produce clear, concise documentation
• Understanding of embedded SW architectures
• Experience in developing and calibrating physics-based models
• Familiar with system optimization techniques and their application to modeling and system design
• Knowledge of modeling languages such as Modelica