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Systems Modeling & AI Research Engineer – Adaptive Security Systems Position: Systems Modeling & AI Research Engineer – Adaptive Security Systems Location: Esch-sur-Alzette, Luxembourg Start Date: Immediate Type: Full-time Company Overview We're LuxQuantum, a Luxembourg-based deep-tech startup developing the next generation of quantum-safe communication systems. Our mission is to address one of the key challenges in modern cybersecurity: how to combine Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) into a unified, adaptive, and scalable security architecture. At LuxQuantum, we believe security decisions should not be static. Different data, infrastructures, risks, trust assumptions, and operational conditions may require different protection strategies. That's why we are developing intelligent and adaptive approaches to model these complex environments and support dynamic security and orchestration decisions. Our work brings together AI, systems modeling, cybersecurity, and quantum-safe communications, creating research challenges that span multiple scientific and engineering disciplines. We are a small and ambitious team of researchers, engineers, and innovators who enjoy exploring difficult problems, learning across disciplines, and turning research ideas into real-world technology. Role Overview As a Systems Modeling & AI Research Engineer, you will contribute to the research and development of the intelligence and decision-making capabilities behind LuxQuantum's adaptive quantum-safe security systems. You will investigate how complex security and communication systems can adapt to changing risks, uncertainty, trust requirements, infrastructure conditions, and operational constraints. Your work may involve mathematical and computational modeling, optimization, probabilistic methods, AI, or other data-driven and decision-support approaches. You will work closely with our research and engineering team to formulate research problems, explore and compare different approaches, develop models and algorithms, evaluate them through experiments and simulations, and translate promising results into working prototypes. The research sits at the intersection of systems modeling, intelligent decision-making, cybersecurity, and quantum-safe communications. What You'll Do • Investigate challenging research problems in intelligent and adaptive security systems • Formulate research questions, develop new approaches, and design experiments and simulations to evaluate them • Develop mathematical, computational, and AI-based models for decision-making under uncertainty, risk, and changing operational conditions • Explore adaptive approaches for the orchestration and optimization of hybrid quantum-safe systems • Design and evaluate methods that help security systems dynamically respond to changing infrastructure, trust, and operational requirements • Translate research ideas, models, and algorithms into working prototypes and validate them in realistic scenarios • Collaborate closely with researchers and engineers across software, AI, cybersecurity, and quantum technologies • Contribute to the technical direction, architecture, and documentation of LuxQuantum's research and development activities What We're Looking For • PhD in a quantitative, scientific, engineering, or computing-related field; or a Master's degree with strong relevant research or R&D experience • Strong research and analytical abilities, with the capacity to investigate complex problems, develop new approaches, and evaluate them systematically • Experience with quantitative, computational, modeling, optimization, AI/ML, or related research methods • Good programming and computational skills in one or more languages such as Python, C++, Rust, or similar • Ability to translate research ideas, mathematical models, or algorithms into working prototypes • Ability to work independently while collaborating effectively within a small multidisciplinary team • Curiosity, adaptability, and willingness to learn and work across different technical domains • Understanding of startup environments and research-driven innovation • Fluent written and verbal communication in English We welcome candidates from different scientific, engineering, and computational backgrounds, including PhD graduates, postdoctoral researchers, and researchers interested in transitioning from academia to industrial R&D. Prior experience in quantum technologies or quantum-safe cybersecurity is welcome but not required. Nice to Have Experience in any of the following is a plus, but not required: • Cybersecurity, risk modeling, or security-related systems • Quantum technologies, Post-Quantum Cryptography (PQC), or Quantum Key Distribution (QKD) • Complex or distributed systems, simulation, or system orchestration • Research software development and building experimental prototypes • APIs, containerization, or ML/MLOps tools such as Docker, FastAPI, MLflow, or similar Who You Are • Curious and motivated by difficult problems where the answer is not always known in advance • An independent thinker who enjoys exploring, testing, and improving new ideas • Interested in turning research and theory into working systems with real-world impact • Comfortable taking ownership while collaborating closely with a small multidisciplinary team • Open to learning across disciplines and applying your expertise to new technical challenges • Excited by the pace, responsibility, and opportunity to shape technology in an early-stage deep-tech startup Why Join LuxQuantum Research with Real-World Impact Work on challenging R&D problems and help turn research ideas, models, and algorithms into technologies for next-generation secure communication systems. High Ownership Take meaningful ownership of your work and have the opportunity to influence technical decisions and the direction of LuxQuantum's technology. Work Across Disciplines Collaborate at the intersection of systems modeling, AI, cybersecurity, software engineering, and quantum-safe communications, with the opportunity to expand your expertise into new areas. Grow with a Deep-Tech Startup Join LuxQuantum at an early stage, with the autonomy to explore ideas, take responsibility, and contribute to the development of both our technology and our research-driven engineering culture. How to Apply Please send: • Your CV • A short cover letter describing your background, relevant research or technical experience, and interest in the role • Links to relevant projects, technical work, GitHub, or other examples of your work, if available (optional) to: contact@luxquantum.lu Join us in building intelligent, adaptive security systems for the future of quantum-safe communications.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
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When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.