Senior Aero-Mechanical Engineer: CFD & AI Turbomachinery

Johnson Controls

United States

On-site

USD 90,000 - 130,000

Full time

7 days ago
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Job summary

Johnson Controls is seeking an advanced aero-mechanical engineer to help develop next‑generation centrifugal compressors for HVAC and refrigeration systems. You will apply aerodynamic design, CFD analysis, and data‑driven methods to improve performance, reliability, and efficiency.

The role emphasizes collaboration across teams, prototype testing, and the adoption of AI/ML techniques to streamline design workflows and optimize manufacturing processes.

Qualifications

  • Bachelor’s degree in mechanical or aerospace engineering or related field required.
  • 3–5 years of experience in compressors or rotating equipment or MSc/PhD in related fields preferred.
  • Strong fundamentals in fluid dynamics, thermodynamics, heat transfer, and turbomachinery.

Responsibilities

  • Design, analyze, and optimize centrifugal compressors and flow-path components using in-house and commercial tools.
  • Develop and improve aerodynamic design methodologies, simulations, and performance prediction.
  • Investigate AI/ML techniques and automated design workflows to enhance compressor performance.
  • Support development programs from concept through validation, including tests and performance analysis.
  • Collaborate with test lab personnel to plan, build, instrument, and evaluate prototype hardware.

Skills

CFD analysis
Python / MATLAB
Machinery design
Communication
Problem-solving

Education

Bachelor’s in Mechanical or Aerospace Engineering
Master’s preferred

Tools

ANSYS Fluent
STAR-CCM+
CAD (3D models)

Job description

Johnson Controls is seeking an advanced aero-mechanical engineer to help develop next‑generation centrifugal compressors for HVAC and refrigeration systems. You will apply aerodynamic design, CFD analysis, and data‑driven methods to improve performance, reliability, and efficiency.

The role emphasizes collaboration across teams, prototype testing, and the adoption of AI/ML techniques to streamline design workflows and optimize manufacturing processes.

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