Sr. Numerical Engineer

Country:

China

Location:

LOC3254: No.3239 Shenjiang Road, Shanghai, Pudong New Area, Shanghai, China

Carrier has openings for passionate and experienced Modeling Engineers to serve as vital members of the MASC (Modeling, Analysis, Simulation and Computation) team based in Shanghai, China. The MASC team is responsible for developing and deploying state-of-the-art modeling tools and model-based development workflow that are used by Carrier global engineering centers for Carrier’s air-conditioning and refrigeration component and system design.

The incumbent will have responsibilities including but not limited to:

• Perform model numeric diagnostic tasks including diagnostic workflow/tool development, model numeric performance improvement for convergence and simulation speed.
• Communicate with modeling engineers and global teams in understanding customer needs from different perspectives.

Education:

• MS degree or above in applied mathematics with 5+ year experience.
• MS degree or above in thermal, refrigeration and air-conditioning or fluid machinery with 5+ year experience.

Experience / Qualifications:

• Have strong mathematical skills in matrix analysis and optimization.
• Be expert in numerical solvers for large scale systems, optimization problems and nonlinear equations. Especially, Newton-based solver with line search for nonlinear equations and optimization
• Be familiar with thermodynamics and heat transfer. It is better to have knowledge on refrigerant cycles and fluid mechanics.
• Be skilled in at least one of following programming language, Fortran, Python and C/C++.
• Strong verbal and written communication skills.
• Ability to collaborate across functions.
• Be passion on physics, mathematics and engineering.
• Be willing to dive into HVAC systems.
• Be curious about finding problems and be patient in solving problems.

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.