CoolPeople
Quantum Engineer (44194)
Skills
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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