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
Requirements
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.
Highlights
If you are passionate about Quantum Computing, AI, and turning emerging tech into working prototypes, this role with our client offers an exciting opportunity to shape the future of computing!
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