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Staff Engineer, Modeling and Controls

hace 2 meses


Santa Catarina, Nuevo León, México Carrier A tiempo completo
About the Role

The Controls Center of Excellence 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 delivering exceptional customer experiences, having fun, and showing genuine respect for our teams.

Key Responsibilities:
  • Lead small teams of globally-distributed engineers to 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, controllability, robustness, stability, and optimization.
  • Work with system engineers to develop requirements, and subsequently ensure controls requirements are satisfied and verified.
  • Drive decisions on control architecture solutions including allocation of controls functions both within and across physical modules (e.g. PLC, UI modules, connectivity/IoT modules).
  • 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 and 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.
Requirements:
  • Bachelor's degree in Electrical, Control Systems, Mechanical, or Chemical Engineering with 7+ years of controls system experience.
  • OR
  • Master's or Ph.D. in Electrical, Control Systems, Mechanical, or Chemical Engineering with 5+ years of controls system experience.
Preferred Qualifications:
  • 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.
  • Proven ability to lead small cross-disciplinary teams of engineers to deliver medium-to-large scope projects.
  • 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 turbomachinery 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 acauasal modeling languages such as Modelica.