Job Description & How to Apply Below
About QpiAI
QpiAI is a deep-tech company in AI, Optimization, HPC, and Quantum Computing, with the QpiAI-Opt platform delivering decision intelligence for critical industries.
Role Overview
Develop next-generation, high-performance optimization solvers, modeling systems, and advanced algorithmic frameworks for the QpiAI-Opt platform, solving large-scale, complex combinatorial and numerical optimization problems. Requires deep expertise in optimization theory, algorithm design, and scientific software development.
Key Responsibilities (Concise Summary)
Solver Development: Design and implement state-of-the-art LP, MILP (simplex, interior-point, branch-and-cut), NLP (SQP, interior-point), combinatorial, and QUBO/Ising solvers.
Modeling: Develop mathematical model abstraction layers, DSLs, and flexible solver interfaces.
Algorithm Research: Implement and benchmark advanced Branch-and-Bound/Cut, cutting plane, decomposition (Lagrangian, Benders, column generation), and metaheuristic techniques.
HPC & Architecture: Design parallel/distributed solver architectures, implement GPU acceleration, and utilize HPC strategies (MPI).
Performance: Develop rigorous benchmarking, profiling tools, and contribute to research publications and IP.
Required Qualifications
Education:
Master's or PhD in Mathematics & Computing, Mathematical Optimization, Operations Research, Applied Mathematics, or a related quantitative field.
Theoretical Foundation: Strong foundation in Linear, Integer, Convex, and Numerical Optimization, plus graph/combinatorial algorithms.
Experience:
Hands-on experience with commercial or open-source solvers.
Programming: Strong proficiency in C++, Python, Julia, or Rust for performance.
Preferred Qualifications
Prior experience with optimization libraries, decomposition techniques (Column Generation, Benders), HPC/cloud deployment of systems, and quantum/quantum-inspired optimization.
Key Skills
Algorithm Design, Mathematical Modeling/DSL, High-Performance Scientific Computing, Performance Optimization, Solver Architecture.
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