Job Description

BQP is building the next-generation simulation platform BQPhy® designed to solve the most complex computational challenges in aerospace, space and defense. The advanced solvers are coupled with quantum-inspired algorithms, enabling simulations beyond today's GPUs' capabilities. Running on today's high-power computers, the quantum-powered platform is multiples faster and more accurate than existing solutions. This results in accelerated time-to-market and reduced development costs by billions, empowering organizations with a sustainable, future-proof competitive advantage. BQP has demonstrated 10X computational advantages with aerospace and defense customers. 

Position Overview

We are seeking an Optimization Applications Engineer 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 modeling. 
• Work closely 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. 
• Remain current with advances in mathematical optimization and numerical methods; incorporate emerging techniques to enhance solution capability. 

Required 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. 
• U.S. citizenship or US Permanent Resident status.
• 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. 
• 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 

Why BosonQ Psi?

• Pioneering Technology:  Join a team that transforms quantum‐inspired research into production-grade optimization solutions for aerospace, defense and critical industries.
• Exceptional Career Development:  Benefit from a structured mentoring programme, sponsored attendance at leading conferences and workshops, and dedicated support for publishing in technical journals.
• Market-Competitive Package:  Enjoy a market competitive package with 401(k) matching, comprehensive health insurance, equity participation and generous paid time off.
• Hybrid Flexibility:  Balance focused remote work with periodic on-site collaboration at our Syracuse office and specialist facilities, ensuring both autonomy and team cohesion.
• Global Engagement:  Gain international exposure through projects governed by ITAR and travel to (eg. USG Labs, AFRL sites, etc.), NATO member states and strategic partners such as India.
• Collaborative Culture:  Work alongside mathematicians, engineers and physicists in a disciplined, intellectually rigorous environment that values precision, transparency and open exchange of ideas.

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