Research Engineer - Optimization

Role Overview: At QpiAI, you will be part of the Quantum hardware team responsible for designing and characterizing Quantum Processors, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI ASGP. Your role will focus on building a high-performance optimization infrastructure to solve real-world decision-making problems in various industries. Key Responsibilities: - Design and implement fast, scalable solvers for complex optimization problems in discrete and continuous domains. - Develop constraint modeling frameworks and metaheuristic algorithms based on mathematical principles. - Evaluate solution quality, convergence behavior, and performance benchmarks across different instances and datasets. - Collaborate with system engineers to integrate solver modules into larger optimization stacks and real-time decision systems. - Explore and incorporate techniques from mathematical programming, stochastic methods, and quantum-inspired approaches. Qualification Required: - Strong mathematical foundation including expertise in linear algebra, combinatorics, graph theory, numerical methods, convex and discrete optimization. - Proficiency in Python and C++ (or Rust/Julia) programming languages with a focus on efficient code writing. - Experience in algorithm design for constraint systems, heuristics, and metaheuristics. - Product-oriented mindset with the ability to design scalable solvers suitable for production systems. - Exposure to quantum computing or hybrid quantum-classical paradigms is a bonus. Additional Company Details: At QpiAI, you will collaborate closely with professionals who view optimization as an engineering challenge and work on developing fast solvers for hybrid or hardware-accelerated optimization. If you are passionate about tackling problems at scale and pushing boundaries in optimization, QpiAI welcomes you to join their team.,