Staff Research Engineer

24 hours ago

Syracuse, New York, United States Carrier Full time
About the Role

Carrier is seeking a highly skilled Staff Research Engineer to lead the development of novel HVAC&R systems that support the company's vision for sustainable building solutions. As a technical expert, you will be responsible for the holistic design and testing of these systems, driving technology maturation for product insertion.

Key Responsibilities
  • Develop and design innovative HVAC&R technologies and associated systems, considering architecture, design, performance, components, and materials selection, cost, manufacturability, technology safety, regulatory compliance, and reliability.
  • Design and validate HVAC&R system architectures with novel technologies using analytical and model-based design tools and methodologies.
  • Identify and mitigate risks through collaboration with multidisciplinary teams, SMEs, and stakeholders.
  • Design and conduct experiments to demonstrate system performance and risk mitigation.
  • Validate multiscale model-based predictions through experimentation and analysis.
  • Develop technology value propositions by analyzing system performance against KPIs such as load capacity, efficiency, reliability, and initial and operational cost targets.
  • Develop robust IP strategies to ensure freedom to practice for the technology.
  • Support the identification, creation, and growth of disruptive technology project pipelines aligned with themes in disruptive HVAC&R, sustainability, and service.
Requirements
  • Masters in Mechanical, Aerospace, or Automotive, Thermal, or Chemical or Systems Engineering.
  • 5+ years of experience in thermal engineering or systems engineering related to technology development.
  • 3+ years of experience in heat transfer or thermodynamic cycles or fluid dynamics and component or system level design, analysis, and testing.
  • 3+ years of experience in working with physics-based modeling tools (CFD, FEA, System modeling).
  • 3+ years of experience in developing system and component-level testing protocols for technology performance demonstrations.
Preferred Qualifications
  • PhD in Mechanical, Aerospace, Automotive, Thermal, Chemical, or Systems Engineering, or similar.
  • 6+ years of working experience in HVAC&R or adjacent related industrial applications.
  • Deep understanding of HVAC&R systems, thermodynamic cycles, and psychrometric analysis.
  • Ability to work with others on design teams to understand and translate design and process engineering requirements into components, sub-systems, and products.
  • Demonstrated experience in identifying novel technologies and performing value assessment for products.
  • Knowledge of cost optimization, dehumidification technologies, and materials.
  • Knowledge of statistics, reliability, and economic analysis.
  • Knowledge of system engineering methodologies, design of experiments.
  • Familiarity with technology development process, including NASA/ISO 16290 technology readiness levels (TRLs).
  • Familiarity with function, components, and modeling of electromechanical HVAC systems, including heat exchangers, compressors, motors, and structural elements or similar systems.
  • Work in psychrometric chamber setup and troubleshooting.
  • Experience with design of experiments, test rig design, measurement system identification and implementation, instrumentation requirements development, measurement uncertainty analysis, test rig commissioning, conducting multiparameter input testing, troubleshooting systems, test data reduction, and validation.
  • Familiarity with specialty software for analysis, tracking, and simulation (Minitab/JMP, COMSOL, LabVIEW, Ansys/Nastran FEA, etc.).
  • Experience in working with universities, consortia, external labs, and/or start-ups, coordinating feasibility studies and evaluations through statements of work or joint development agreements.
  • Team-oriented personality, capability to work well in multi-disciplinary and multi-cultural teams.
  • Must be self-driven and capable of leading development projects autonomously, while gathering feedback from appropriate experts and stakeholders.
  • Balance significant workload (support multiple projects, lead several projects). Propose priorities and readily shift activities to maximize impact.
  • Expertise in development computational models for component and system level.
  • Familiarity with using HPC and cloud-based platforms for computation at scale.
  • Familiarity with system optimization techniques and their application to modeling and system design.

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