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ClosedPosted 10 days ago

Senior Quantum Engineer

Jimmy Technologies2 open roles

Pay
€35 – €42 an hour
Where
Remote job, Remote
Work mode
Remote

This posting closed on 2026-10-19. 2 other Jimmy Technologies postings are live.

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Still open, like this oneLive
  1. Senior Data Architect (MS Purview)3d agoJimmy Technologies · Remote job, Remote
  2. Senior Teradata Architect23d agoJimmy Technologies · Remote job, Remote
  3. Senior Quantum Engineer21d agoQ-Block Computing · Ottawa, Ontario, Canada
  4. Senior Quantum Engineer21d agoQUANTUM MOTION TECHNOLOGIES LIMITED · Maryland, US

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Jimmy Technologies postings stay open a median of 7 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 10 days ago

Jimmy Technologies median: 7 days open

The posting

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

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.

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