Senior Quantum Engineer

Our partner, a Fortune 500 company, runs an Emerging Tech lab that builds rapid proofs of concept to test how emerging technologies — AI, Blockchain, IoT, Robotics, VR/AR — can be applied to real business use cases.

We're looking for Senior Quantum Engineers to bring quantum computing competency to their team. You'll design and prototype quantum and hybrid quantum-classical solutions, build AI assets (e.g., plugins) that drive the firm-wide AI strategy, and contribute to ongoing AI and quantum R&D initiatives.

This is a long-term, fully remote contract position (likely extension) with required US working hours overlap (2-6 PM CET).

Responsibilities

• Quantum algorithms: design, implement, and benchmark quantum algorithms (Shor's, Grover's, variational quantum algorithms) for business use cases.

• Quantum optimization: formulate optimization problems as QUBOs and solve them with D-Wave's quantum annealing (Leap/Ocean).

• Gate-based development: build and run quantum circuits using IBM Qiskit on platforms such as IBM Q, Rigetti, or Google Quantum.

• Prototyping & PoCs: rapidly turn hypotheses into prototypes, demos, and learnings that teams and clients use to decide where to invest in emerging tech.

• AI assets & R&D: develop AI assets (e.g., plugins) and contribute to R&D initiatives, including quantum NLP and quantum cryptography use cases.

• Performance: write efficient classical code (Python, C++, Julia) with a focus on optimization and computational efficiency.

Work Conditions

• Type: Full-time, Long-term contract

• Start Date: ASAP

• Location: Remote

• US Time Zone Overlap: Required (2 PM - 6 PM CET, ideally until 7 PM CET)

• Contract with EU LLC

Must have

• 2-5 years of experience, including at least 1 year in quantum computing (quantum algorithms / quantum cryptography), the rest 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 quantum algorithms — Shor's, Grover's, and variational quantum algorithms.

• Gate-based quantum systems & IBM Qiskit, plus familiarity with quantum hardware (superconducting qubits, trapped ions) and platforms like IBM Q, Rigetti, or Google Quantum.

• D-Wave quantum annealing — Leap/Ocean and hands-on QUBO formulation for optimization problems.

• Knowledge of quantum cryptography and quantum NLP.

• Strong Python skills, with a focus on optimization and computational efficiency.

• Understanding of machine learning and deep learning algorithms (random forests, ensemble methods, DNNs, CNNs), when to apply each, and open-source frameworks (PyTorch, TensorFlow, Keras).

• Ability to collaborate with cross-functional teams and present prototypes and findings to technical and business stakeholders.

• Have a consultancy mindset → always try to find a solution for the client

Nice to have

• Research publications on quantum algorithms or applications (e.g., quantum simulation, linear algebra, cryptography) in reputable international journals.

• Practical experience applying ML & deep learning with TensorFlow, Keras, and Scikit-learn in Python.

• Experience with C++ or Julia.