Principal Mechanical Engineer

Carrier

New York (NY)

On-site

USD 130,000 - 190,000

Full time

3 days ago
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Job summary

Carrier is seeking a visionary Lead HVAC/R Modeling Engineer to drive the design and optimization of next-generation systems. You’ll architect core HVAC/R subsystems and mentor the next generation of engineers, turning complex data into real-world performance.

You will lead advanced simulation efforts, validate physics-based models against real-world data, and collaborate on system architecture development to ensure designs are robust, scalable, and high-performing across commercial, industrial,

Qualifications

  • Master’s degree with 7+ years of hands-on HVAC/R modeling and simulation experience
  • Bachelor’s degree with 10+ years of hands-on HVAC/R modeling and simulation experience

Responsibilities

  • Model complex HVAC/R sub-systems and full-scale systems from the ground up
  • Develop physics-based models and validate them against real-world test data
  • Deploy studies across a diverse portfolio of HVAC/R applications
  • Refine thermal, electrical, and mechanical interactions to maximize efficiency

Skills

HVAC/R modeling
System architecture
Data analytics
Leadership

Education

Master’s degree in Mechanical Engineering
Bachelor’s degree in Mechanical Engineering

Tools

MBSE
DOE methods

Job description

We are looking for a visionary Lead HVAC/R Modeling Engineer to drive the design and optimization of our next-generation systems. In this role, you won't just run simulations- you will architect the core systems (refrigeration, electrical, and engine integration) that power our future product line.

If you are a technical expert who loves translating complex data into real-world performance and enjoy mentoring the next generation of engineering talent, we want to talk to you.

Your Impact & Purpose

  • Champion the Tech: Act as the lead technical authority and mentor for all HVAC/R modeling activities, elevating the capabilities of the entire engineering team
  • Architect the Future: Collaborate closely on system architecture analysis, ensuring our designs are robust, innovative, and scalable
  • Drive Excellence: Develop detailed, high-performance system designs that consistently hit and exceed our critical KPIs

What You’ll Do

  • Advanced Simulation: Model complex sub-systems, components, and full-scale HVAC/R systems from the ground up
  • Data Validation: Bridge the gap between theory and reality by developing physics-based models and validating them against rigorous real-world test data
  • Cross-Functional Deployment: Deploy cutting-edge component and system studies across a diverse portfolio of HVAC/R applications
  • Continuous Optimization: Refine and perfect thermal, electrical, and mechanical system interactions to maximize efficiency

Minimum Qualifications

  • Master’s degree with 7 + years of professional hands-on experience in HVAC/R system modeling and simulation

OR

  • Bachelor’s degree with 10+ years of professional hands-on experience in HVAC/R system modeling and simulation

Preferred Qualifications:

  • Bachelors or Master in Mechanical Engineering, Aerospace Engineering, or Thermal Engineering
  • Extensive experience designing and modeling HVAC/R systems for commercial, industrial, transportation, or off-highway applications
  • Deep expertise in refrigeration cycles and vapor compression systems
  • Experience integrating thermal, electrical, refrigeration, and engine/powertrain systems
  • Experience with system architecture development and trade-off analysis
  • Proven technical leadership experience leading complex engineering projects
  • Experience mentoring and developing junior engineers
  • Knowledge of controls, system optimization, and model-based systems engineering (MBSE)
  • Familiarity with industry standards and regulations related to HVAC/R systems
  • Experience working in new product development from concept through validation and production
  • Strong project management and stakeholder communication skills
  • Experience with Design of Experiments (DOE), optimization techniques, and data analytics for system performance improvement
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