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Quantum Engineer (44194)

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Onsite

Quantum Engineer (44194)

CoolPeople

Quantum Engineer (44194)

Skills

BlockchainDeep LearningPythonKerasPyTorchTensorFlowRMachine LearningAINLP / Natural Language Processing

13 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Prague, Czechia

Work mode:

Onsite

Published on:

15 October 2026

What they need


A rare hybrid is wanted here: someone with a strong quantum computing background who is just as comfortable with practical AI/ML. The Emerging Tech lab of a global advisory firm, which builds rapid prototypes and proofs of concept across AI, blockchain, IoT, robotics and now quantum computing, is opening a Quantum Engineer role. You will bring quantum competency into the lab – building demos and prototypes that help clients and internal teams decide how to invest in new technologies – and contribute to ongoing AI R&D through tooling and plugin development. Key requirements are hands-on experience with quantum computing platforms (IBM Qiskit, D-Wave Leap/Ocean), a deep understanding of quantum algorithms , strong Python and a solid grasp of ML/deep learning .

🚀 Project

  • Emerging Tech lab building rapid prototypes and proofs of concept across AI, blockchain, IoT, robotics and quantum computing
  • bringing quantum computing competency into the lab – demos and learnings for clients and internal teams
  • contribution to ongoing AI R&D and firm-wide AI strategy through tooling and plugin development
  • translating complex quantum concepts into business-relevant insights for clients and non-technical stakeholders
  • exploratory lab environment where the goal is learning as much as delivering
  • senior development team with a start-up atmosphere inside a large corporation
  • contract CP for 12 months from 11/2026, start ASAP, 99 % home office (occasional workshops in Prague)

🎯 Skills

  • hands-on experience with quantum computing platforms – IBM Qiskit, D-Wave Leap/Ocean or equivalent
  • deep understanding of quantum algorithms – Shor's, Grover's, variational algorithms, QUBOs for optimisation
  • solid grasp of quantum mechanics fundamentals – superposition, entanglement, error correction, gate-based systems
  • strong Python programming skills with focus on computational efficiency
  • understanding of ML/deep learning concepts and frameworks (PyTorch, TensorFlow, Keras)
  • 1+ year in quantum algorithms, quantum cryptography or quantum computing (2–5 years total experience)
  • strong linear algebra and mathematical foundations
  • English C1

💡 Nice to have

  • published research in quantum algorithms or quantum applications in reputable journals
  • experience with quantum NLP or quantum simulation
  • practical ML/DL experience with Scikit-learn, Keras, TensorFlow
  • experience with C++ or Julia alongside Python

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