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Optimization Engineer

Carrier -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Benefits

Flexible schedule

Qualifications

Doctoral degree
Chemical Engineering
Communication skills
Python
Chemical engineering

Full job description

Job Title – Optimization Engineer

Preferred Location - Hyderabad, India

Full time/Part Time - Full Time

Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.

Summary:

The candidate will provide technical leadership in the area of numerical optimization of thermo-fluid systems which are core to the Carrier business – including design and deployment of product design methods, sales tools, and on-line supervisory controls

Key Responsibilities:

Deployment. Ensure that methods and tools developed in the group impact the Carrier business through engagement in global product projects, including capture and formulation of computational problems arising in such projects that relate to “supervisory” control formulations, trade studies and implementation. Use control theoretic tools for robustness and stability guarantees in addition to performance optimality.
Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for designing dynamic, optimal supervisory control are based on sound mathematical foundations and are deployed to match the needs of the Carrier business.
Modeling for dynamic supervisory control based on optimization formulations. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms for control applications.
Talent. Support development and training of staff within Carrier product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and these
Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs and MILPs), including attention to reliable convergence of such problems.
In-depth knowledge and experience 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.
Demonstrated experience in creating, importing, and simulating Functional Mockup Units (FMUs) following FMI 2.0/3.0 standards for 1D Co-Simulation and Model Exchange
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. Knowledge about discrete optimization formulations, methods, and algorithms is a merit.
Expertise and experience 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 design on-line closed loop supervisory controllers (e.g., MPC/NMPC), including stability and robustness analysis and deployment to relevant industrial processes.
Familiarity with using HPC and cloud-based platforms for computation at scale.
Demonstrated ability to lead and 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, and has excellent interpersonal, leadership and communication skills

Requirements:

Prefer degree in an Engineering discipline (e.g., applied mathematics, controls, mechanical or chemical engineering)

PhD is preferred

Benefits:

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.
Have peace of mind and body with our health insurance
Make yourself a priority with flexible schedules and leave Policy
Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

Our commitment to you Our greatest assets are the expertise, creativity and passion of our employees. 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. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now !

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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Job Title – Optimization Engineer

Preferred Location - Hyderabad, India

Full time/Part Time - Full Time

Summary:

The candidate will provide technical leadership in the area of numerical optimization of thermo-fluid systems which are core to the Carrier business – including design and deployment of product design methods, sales tools, and on-line supervisory controls Key Responsibilities:

Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for designing dynamic, optimal supervisory control are based on sound mathematical foundations and are deployed to match the needs of the Carrier business.

Modeling for dynamic supervisory control based on optimization formulations. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms for control applications.

Talent. Support development and training of staff within Carrier product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and these

Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs and MILPs), including attention to reliable convergence of such problems.

Demonstrated experience in creating, importing, and simulating Functional Mockup Units (FMUs) following FMI 2.0/3.0 standards for 1D Co-Simulation and Model Exchange

Expertise and experience 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 design on-line closed loop supervisory controllers (e.g., MPC/NMPC), including stability and robustness analysis and deployment to relevant industrial processes.

Familiarity with using HPC and cloud-based platforms for computation at scale.

Demonstrated ability to lead and 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, and has excellent interpersonal, leadership and communication skills

Requirements: Prefer degree in an Engineering discipline (e.g., applied mathematics, controls, mechanical or chemical engineering)

PhD is preferred

Benefits:

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

Have peace of mind and body with our health insurance

Make yourself a priority with flexible schedules and leave Policy

Drive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.

Join us and make a difference.

Apply Now !

The candidate will provide technical leadership in the area of numerical optimization of thermo-fluid systems which are core to the Carrier business – including design and deployment of product design methods, sales tools, and on-line supervisory controls

Key Responsibilities:

Requirements:

Prefer degree in an Engineering discipline (e.g., applied mathematics, controls, mechanical or chemical engineering)