Role Overview
This role focuses on applying optimization and operations research methods to aerospace, space, and defense simulation problems. You will work on translating mathematical models into practical solvers integrated within BQP’s simulation workflows.
The position emphasizes applied problem-solving, algorithm development, and close collaboration with simulation and platform teams.
Key Responsibilities / KRAs
* Develop optimization and operations research models
* Apply algorithms to design, planning, and resource allocation problems
* Integrate optimization solvers into simulation workflows
* Validate models under real-world constraints
* Required Qualifications / Skills
* Background in mathematical optimization or operations research
* Experience with computational science methods
* Proficiency in Python, MATLAB, or C++
* Ability to implement algorithms for practical use
If you enjoy solving real-world optimization problems with direct engineering impact, we invite you to apply. For any questions regarding this position, please contact our Talent Acquisition team at careers@bqp-tech.com
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