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Quantum Computing Researcher

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of 2026's quantum revolution! We're pioneering next-gen quantum computing solutions to solve humanity's most complex challenges. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and MIT PhDs to develop scalable quantum algorithms and error-correction protocols. Our state-of-the-art lab in San Francisco features 128-qubit processors and exclusive access to IBM Quantum Network. We offer unparalleled research freedom, competitive equity packages, and the opportunity to publish in Nature Physics. Shape the future of technology while enjoying our rooftop quantum garden and weekly hackathons with industry pioneers.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error-correction techniques for fault-tolerant computing
  • Lead cross-functional teams of physicists and software engineers
  • Publish groundbreaking research in top-tier journals and conferences
  • Collaborate with NASA and DARPA on quantum-resistant cryptography projects
  • Prototype quantum machine learning frameworks for 2026 deployment
  • Present findings at international quantum summits (Davos, World Economic Forum)

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Published research in Nature/Science or equivalent peer-reviewed journals
  • Proficiency in Python, C++, and quantum circuit optimization
  • Deep understanding of quantum entanglement and superposition principles
  • Experience with IBM Quantum Experience and Google Cirq platforms

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Python C++ Machine Learning Cryptography Theoretical Physics

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