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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computational power. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms that will reshape industries from healthcare to finance. In this role, you'll collaborate with Nobel Prize-winning physicists and industry disruptors to solve previously unsolvable problems using quantum mechanics principles. Our state-of-the-art facility in San Francisco offers unparalleled resources including access to quantum annealers and superconducting processors. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Develop novel quantum programming interfaces for hybrid quantum-classical workflows
  • Collaborate with hardware engineers to co-design quantum processor architectures
  • Publish breakthrough research in top-tier journals and conferences
  • Secure external funding through government grants and industry partnerships
  • Mentor junior researchers and contribute to quantum computing education initiatives

Qualifications

  • PhD in Physics, Computer Science, or Mathematics with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Proven track record of publishing in Nature/Science or equivalent high-impact journals
  • Expertise in at least one classical ML framework (TensorFlow, PyTorch) for hybrid systems
  • Experience with superconducting or ion-trap quantum hardware
  • Strong background in linear algebra, probability, and computational complexity

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Python Linear Algebra Quantum Mechanics Superconducting Hardware Error Correction

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