Senior Quantum Engineer

• Design, implement, and benchmark quantum algorithms for business use cases
• Formulate optimization problems as QUBOs and solve them using D-Wave quantum annealing with Leap/Ocean
• Build and run quantum circuits using IBM Qiskit on IBM Q, Rigetti, or Google Quantum platforms
• Rapidly turn hypotheses into prototypes, demos, and learnings for teams and clients
• Develop AI assets, such as plugins, supporting the firm-wide AI strategy
• Contribute to AI and quantum R&D initiatives, including quantum NLP and quantum cryptography use cases
• Write efficient classical code in Python, C++, or Julia, focusing on optimization and computational efficiency
• Collaborate with cross-functional teams and present prototypes and findings to technical and business stakeholders

• 2–5 years of experience, including at least 1 year in quantum computing; remaining experience in Generative AI or Data Science
• Deep understanding of quantum computing fundamentals: linear algebra, quantum mechanics, entanglement, superposition, and quantum error correction
• Hands-on experience with Shor's, Grover's, and variational quantum algorithms
• Experience with gate-based quantum systems and IBM Qiskit
• Familiarity with superconducting qubits, trapped ions, IBM Q, Rigetti, or Google Quantum
• Experience with D-Wave quantum annealing, Leap/Ocean, and QUBO formulation
• Knowledge of quantum cryptography and quantum NLP
• Strong Python skills focused on optimization and computational efficiency
• Understanding of machine learning and deep learning algorithms, including random forests, ensemble methods, DNNs, and CNNs
• Knowledge of open-source frameworks: PyTorch, TensorFlow, and Keras
• Ability to collaborate with cross-functional teams and present prototypes and findings to technical and business stakeholders
• Consultancy mindset and client-solution orientation
• Preferred: research publications on quantum algorithms or applications in reputable international journals
• Preferred: practical ML and deep learning experience with TensorFlow, Keras, and Scikit-learn in Python
• Preferred: experience with C++ or Julia

• Long-term contract
• Likely contract extension
• Fully remote work
• Required US working-hours overlap (2–6 PM CET, ideally until 7 PM CET)