Lead Engineer

Haier Appliances

5 - 10 years

7 - 11 Lacs

hyderabad

Posted:2 days ago| Platform:

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Skills Required

hvac c++ simulation control system thermal engineering design simulink refrigeration troubleshooting matlab

Work Mode

Work from Office

Job Type

Full Time

Job Description

RESPONSIBILITIES:

The modeling engineer is responsible for refrigerant component/system model development/accuracy assurance / troubleshooting / maintenance / model integration with API/UI.

Design and develop physics-based thermo-fluid models of HVAC-R components
Integrate and compose component models into HVAC-R equipment system models
Perform model testing, calibration, and validation based on experimental data
Perform component/system model test to support the development of Next Generation simulation toolchain
Work with our engineering design centers globally on challenging modeling problems and promote the application of modeling and simulation techniques to support design decisions
Align with global team to define Agile user story/feature for local modeling group

What Youll Bring to Our Team

EDUCATION / CERTIFICATIONS:

Candidates must have or be pursuing an MS in Engineering, Data Analytics, Physics, or PhD in Mechanical with a Specialization in Thermal and fluid Science
Experience : 5+ years in the relevant area

EXPERIENCE / QUALIFICATIONS:

Candidates should have at least 5 years of experience of physics-based modeling
Experience of writing/solving equation-based model in one or more integrated solver toolchains, such as Dymola,
Should possess experience in using of Modelica based modeling methodology.
Experience with one or more programming languages including but not limited to: .Net ,Python, R, Matlab, Scala, SQL, C/C++, Java, Modelica
Knowledge of Application Language Matlab/ Simulink is helpful
Experience of the Agile development process is desirable.
Knowledge of software programming techniques, including object-oriented methodologies, version control management
Strong technical writing abilities to provide high-quality documentation and standard work

In addition, the ideal candidate should:

Demonstrated ability to work independently and in a team environment.
Basic understanding of HVACR, thermal fluid systems, and thermodynamic cycles
Knowledge of machine learning, linear algebra, statistics, signal processing, and optimization is a plus
Hand-on experience with embedded systems and lab testing is also a plus
Good to know numerical methods and solvers, optimization, and robust design techniques and Use methods for model convergence (scaling, smoothing), model diagnostics, debugging, initialization, identification of limits of performance

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