Computational / Optimization Engineer

Country:

India

Location:

Building No: 12C, Floor 9, 10, 11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India

Role: Computational / Optimization Engineer

Location: Hyderabad

Full/ Part-time: Fulltime

Build a career with confidence.

About the role

Senior Software Engineering professional with deep knowledge and highly developed technical expertise. Develops, coordinates and conducts complex tests and debugs control and diagnostic systems , makes recommendations on changes in the selection and application of software production components to management, implements major components, presents designs review, and coordinates with other organizations.

Key Responsibilities:

• Develops, coordinates and conducts complex tests and debugs control and diagnostic systems that contain logical and mathematical solutions.
• Liaises closely with other project team members in the planning, design, development, and utilization of electronic data processing systems for product and commercials software to ensure smooth operations on software engineering activities.
• Recommends changes in the selection and application of software production components to improve and develop software engineering activities.
• Designs and implements build procedures that are used to support hardware and software product development and function.
• Proven ability to design on-line closed loop supervisory controllers (e. g. , MPC/NMPC), including stability and robustness analysis and deployment to relevant industrial processes.
• Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), 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.
• 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 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.

Requirements

Requires advanced to expert knowledge obtained through advanced education, combined with experience
Substantial knowledge of Carrier organization, programs or systems to make enhancements within job area
University Degree or equivalent
A minimum of 7 years prior relevant experience
OR
An advanced degree in a related field and a minimum of 5 years experience

Benefits

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

• Enjoy your best years with our retirement savings plan
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

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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