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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of technology as a Quantum Computing Research Scientist at Nexus Quantum Labs. Join our pioneering team in developing next-generation quantum algorithms and systems that will revolutionize computation by 2026. We're seeking visionary minds to tackle complex challenges in cryptography, optimization, and material science using cutting-edge quantum hardware.

Why Nexus Quantum Labs? We're at the forefront of quantum innovation, offering competitive compensation, state-of-the-art facilities, and collaboration with world-class researchers. Our mission is to accelerate quantum adoption and solve humanity's most pressing problems through quantum supremacy.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance, healthcare, and logistics
  • Develop error correction protocols to enhance quantum system stability and scalability
  • Collaborate with hardware engineers to optimize quantum circuit performance on real quantum processors
  • Lead research projects in quantum machine learning and quantum simulation
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster a culture of innovation

Qualifications

  • PhD in Physics, Computer Science, Mathematics, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Strong background in algorithm design and high-performance computing
  • Proven track record of peer-reviewed publications in quantum computing
  • Experience with superconducting or trapped-ion quantum systems preferred

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Cryptography High-Performance Computing

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