senior optimization engineer - Hyderabad, India - Vrinda Global

Description

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.

• 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