Design Engineer For Top MNC

LRR Technologies is currently hiring talented people to work with Carrier Corporation. Carrier Corporation (NYSE: CARR) is a global provider of innovative heating, ventilating, and air conditioning (HVAC), refrigeration, fire, security, and building automation technologies boasting annual sales of over $20 billion, with 58,000 employees spread across 160+ countries. For its R&D centre in Hyderabad, Carrier is looking for a talented Design Engineer.

Carrier was founded in 1915 as an independent, American company, manufacturing and distributing heating, ventilating and air conditioning (HVAC) systems, as well as commercial refrigeration and food service equipment. Built on Willis Carriers invention of modern air conditioning in 1902, Carrier is a world leader in heating, air-conditioning and refrigeration solutions. We constantly build upon our history of proven innovation with new products and services that improve global comfort and efficiency.

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.

Responsibilities:

• Deployment. Support 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.
• Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the Carrier business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group.
• Modeling for optimization. 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.
• 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 theses.

Qualification and Experience Required:

MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience.

Perks and Benefits:

The position will pay quite well - Rs. 18-25 lakh per annum is the band, and the final amount may be even higher depending on your experience and expertise.

If made an offer, you will need to join in 4 weeks.

This is the opportunity of a lifetime for people looking to specialize in highly coveted niche futuristic skills, and to work in a top multinational company with excellent employee-first initiatives. We look forward to your application.