Senior Quantum Engineer

Jimmy Technologies

. Design, implement, and benchmark quantum algorithms for business use cases .

Posted 10/14/2026full-timeRemote • CzechiaSenior💰 €35 - €42 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantum computing, including algorithm design and optimization, while effectively collaborating with cross-functional teams to deliver innovative AI solutions. Proficient in programming languages such as Python, C++, and Julia, with a strong focus on computational efficiency and machine learning frameworks.

Highest-signal resume keywords

Quantum Computing FundamentalsQuantum Algorithm DesignIBM Qiskit ExperiencePython Programming for OptimizationD-Wave Quantum Annealing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantum Algorithm DesignQUBO FormulationQuantum CryptographyQuantum NLPMachine Learning AlgorithmsDeep Learning AlgorithmsPython ProgrammingC++ ProgrammingJulia ProgrammingOptimization Techniques

Soft Skills

CollaborationClient-Solution OrientationPresentation Skills

Tools & Technologies

IBM QD-Wave Leap/OceanGoogle QuantumRigetti QuantumPyTorchTensorFlowKerasScikit-learn

Industry Keywords

Quantum ComputingGenerative AIData ScienceQuantum MechanicsEntanglementSuperpositionQuantum Error Correction

Tech Stack

Tools & technologies

KerasPythonPyTorchScikit-LearnTensorflowC++

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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