Senior Quantum Engineer
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026.
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.