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Quantum Computing Research Scientist

Horizon Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Shape the future of technology at Horizon Quantum Labs, where we're pioneering quantum computing breakthroughs that will redefine industries by 2026. Join our elite research team in San Francisco to develop next-generation quantum algorithms and systems that solve previously impossible problems. We offer cutting-edge resources, collaborative innovation labs, and the opportunity to work alongside Nobel laureates and industry pioneers. Our culture values intellectual curiosity, ethical innovation, and disruptive thinking – perfect for visionaries ready to build tomorrow's computational reality today.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental quantum hardware integration projects with superconducting and photonic systems
  • Develop error-correction protocols for scalable quantum processors
  • Collaborate with cross-functional teams to translate quantum research into commercial applications
  • Publish findings in leading scientific journals and present at international conferences
  • Mentor junior researchers and drive quantum computing education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related quantum computing field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep expertise in quantum error correction and fault-tolerant architectures
  • Publication record in quantum computing or theoretical physics
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proven ability to lead complex research projects from concept to implementation

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Error Correction Quantum Hardware Cryptography Machine Learning Superconducting Systems Photonic Computing

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