
Optimization Research Specialist
24 hours ago
We are seeking an exceptional Operations Research Scientist to champion the full lifecycle of engineering-scale optimization solutions.
You will translate real-world engineering challenges into robust mathematical models, implement high-performance algorithms and deliver production-grade applications that drive measurable improvements across aerospace and adjacent sectors.
The successful candidate will drive customer-facing deployments, deliver technical presentations, and contribute to advanced simulation campaigns in MATLAB/Simulink, Python and C++.
Key Responsibilities- Formulate and refine large-scale optimization problems (LP, IP, MIP, NLP, QP) to address engineering 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, such as hypersonic flow, structural sizing, trajectory planning, systems models, digital mission planning and dynamic modelling.
Requirements
Required Skills and Qualifications
- A Master's or Ph.D. 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).
Benefits
This role offers a unique opportunity to work closely with systems engineers, simulation specialists and product teams to translate technical requirements into mathematical formulations and software deliverables.
As a valued member of our team, you will have the chance to design representative test cases, run benchmark simulations and validate results against empirical or high-fidelity data.
Our team is committed to staying up-to-date with advances in mathematical optimization and numerical methods; we incorporate emerging techniques to enhance solution capability.
What We Offer
We offer a collaborative and dynamic work environment, with opportunities for professional growth and development.
If you are a motivated and skilled operations research professional looking for a challenging and rewarding role, we encourage you to apply.
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