Optimization Expert for Aerospace Engineering

2 days ago


Bengaluru, Karnataka, India beBeeoptimization Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Description:

We are seeking a highly skilled Optimization Expert to join our team and drive engineering-scale optimization solutions across aerospace and adjacent sectors.

You will formulate and refine large-scale optimization problems to address engineering use cases such as structural sizing, trajectory planning, and flow control.

Key Responsibilities:
  • Develop and deploy engineering-scale optimization algorithms in MATLAB/Simulink, Python, and C++
  • Implement and benchmark different optimization methods, including gradient-based solvers, metaheuristics, and quantum-inspired routines
  • Embed optimization engines into aerospace simulations for hypersonic flow, structural sizing, trajectory planning, systems models, digital mission planning, and dynamic modeling
  • Collaborate with systems engineers, simulation specialists, and product teams to translate technical requirements into mathematical formulations and software deliverables
Required Skills and Qualifications:
  • Master's or PhD in Applied Mathematics, Optimization, Computational Science, Aerospace Engineering, or equivalent discipline
  • 1-3 years' experience developing and deploying engineering-scale optimization algorithms preferred; strong academic or research experience also acceptable and fresh graduates are encouraged to apply
  • Exceptional customer-facing skills: articulate communicator, adept at technical presentations
  • Proficiency with optimization solvers (Gurobi, CPLEX, or equivalent), MATLAB/Simulink, Python, and C++; strong command of numerical libraries and version control (Git)
  • Demonstrable expertise in aerospace simulation methodologies
  • Advanced mathematical and algorithmic problem-solving aptitude
Benefits:
  • Opportunity to work on complex engineering-scale optimization problems
  • Collaborative and dynamic work environment
  • Professional development and growth opportunities


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