Country:

China

Location:

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

角色职责:

As a Senior Computational Engineer, you provide technical expertise in the area of scientific computing and promote the best practice of DevOps and CI/CD.

You engage with global product teams and work with modeling and optimization team closely to ensure the model-based design (MBD) solutions can be well deployed, monitored and maintained. 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 improve model development efficiency and model performance from computation perspective) and software engineering (to ensure the computational infrastructure is well posed and fully leveraged).

角色 目的:

• Provide technical expertise in the areas of computational engineering, including but not limited to scientific computing, data analytics, machine learning, automation tools and platforms (Testing automation and streamlined deployment), and high performance computing (HPC) on a range of operating systems/hardware platforms.

• Participate in global multidisciplinary projects, ensuring on-time and high-quality project execution and deliverables.

• Explore, develop, and maintain computational tools and platforms to analyze and solve complex engineering problems arising in product designs, controls, and services, then deliver computer-aided decision-making toolchains, workflows, processes, and trainings for Carrier business units.

最低要求:

Education:

• M.S. or Ph.D. in Computer Science, or Engineering (mechanical, control, chemical, industrial, electrical, etc.).

• At least 5 years of professional experience in academia, industry, or a national lab.

Skills and qualifications:

• Scientific Computing

• Proficiency in programming languages such as Python, Julia, Modelica, R, C, C++, C#, Java, Fortran, etc. Familiarity with JupyterLab, including Notebook, is advantageous.

• Skilled in using scientific computing libraries like Numpy, Scipy, Pandas, LAPACK, BLAS, HSL, etc.

• Capable of executing algorithms on various operating systems and hardware platforms (Linux, Windows, workstation, cluster, Cloud, embedded system, etc.).

• Experience with parallel computing on Linux & Windows is beneficial.

• DevOps & CI/CD

• Expertise in DevOps principles and practices that combine software development (Dev) and IT operations (Ops).

• Proficiency in continuous integration (CI) and continuous delivery/deployment (CD) practices.

• Experience with CI/CD tools such as Jenkins, Travis CI, GitLab CI, CircleCI, or Bamboo for automating the software delivery process.

• Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.

• Familiarity with version control systems like Git for tracking changes in the codebase.

• Model Based Simulation & Optimization

• Experience with simulation or optimization platforms like Pyomo, JuMP, CasADi, Dakota, Dymola, OpenModelica, AMPL, Matlab/Simulink, GAMS, gPROMS, ALAMO, etc., is a plus.

• Experience in physical model development and model-based product/process designs, particularly for HVAC/R or other energy systems, is an asset, is a plus.

• Personal Attributes

• A self-starter who is well-organized and can work effectively in an international team environment.

• Strong interpersonal, leadership, and 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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