Optimization Engineer

17 hours ago

Bengaluru, Karnataka, India beBeeOptimization Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Mathematical Optimization Specialist

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We seek an expert in mathematical optimization to lead the development of advanced engineering-scale solutions.

You will transform real-world challenges into robust mathematical models, implement high-performance algorithms and deliver production-grade applications that drive improvements in aerospace and adjacent sectors.

The successful candidate will drive customer-facing deployments, deliver technical presentations, and contribute to advanced simulation campaigns using MATLAB/Simulink, Python, and C++.

Key Responsibilities:

  • Develop large-scale optimization problems (LP, IP, MIP, NLP, QP) addressing use cases such as structural sizing, trajectory planning, and flow control.
  • Implement and benchmark different optimization methods, gradient-based solvers, metaheuristics, and quantum-inspired routines in MATLAB/Simulink, Python, and C++.
  • Embed BQPhy optimization engines into aerospace simulations, including 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.
  • Design representative test cases, run benchmark simulations, and validate results against empirical or high-fidelity data.
  • Stay current with advances in mathematical optimization and numerical methods; incorporate emerging techniques to enhance solution capability.

Required Skills and Qualifications:

  • Masters or PhD in Applied Mathematics, Optimization, Computational Science, Aerospace Engineering, or equivalent discipline.
  • 1-3 years' experience developing and deploying optimization algorithms, or strong academic/research experience.
  • Exceptional customer-facing skills: articulate communicator, adept at technical presentations.
  • Proficiency with optimization solvers (Gurobi, CPLEX), 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.
  • Willingness to undertake domestic and international travel as project requirements dictate.

Preferred Qualifications:

  • Practical experience with CFD tools (e.g. Fluent, FUN3D, StarCCM+) and FEA tools (e.g. ABAQUS, ANSYS Mechanical, OptiStruct).
  • Proven track record of delivering complex solutions within multidisciplinary teams.

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