Job Information
Carrier Staff Optimization Engineer in Shanghai, China
Country:
China
Location:
LOC3254: No.3239 Shenjiang Road, Shanghai, Pudong New Area, Shanghai, China
角色职责:
As a Staff Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Carrier business – this includes trade-off and optimize energy efficiency, production cost and operating economy.
You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how Carrier products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of Carrier systems.
You also take active part in product development to support design engineers in adopting and using new methods and tools.
You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed).
角色目的:
At Carrier, you’re joining the world leader in healthy, safe, sustainable and intelligent building and cold chain solutions. We create solutions that matter for people and our planet – and our employees are the heart of it all. We are a company of innovators and problem-solvers who are united by The Carrier Way – our vision, values and culture.
As an employer of choice, we strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. In short, Carrier’s greatest assets are the expertise, creativity and passion of our employees – and we’re excited for you to join the team.
The Computational Engineering group within Systems, Controls & ML/AI COE (Carrier WHQ) has responsibility for developing and deploying model-based methods and tools for design and operation of Carrier products. This includes using mathematical models for taking product design decisions, quantification of system uncertainty, and securing efficient operation in the field. The core technology areas of the group are large-scale continuous and discrete optimization, variability analysis, data analytics, machine learning, numerical and algorithm analysis, as well as understanding requirements for mathematical models to be reliably used by numerical algorithms.
We are now hiring and looking for our next Staff Optimization Engineer.
最低要求 :
Education:
MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience.
Skills and qualifications:
Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems.
Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems.
Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems.
Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi.
Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants.
Familiarity and experience with development of computational platforms and tools in Python or equivalent.
Familiarity with using HPC and cloud-based platforms for computation at scale.
Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment.
Self-starter who is well-organized in an international team environment, with proven communication skills.
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.
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