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Quantum Computing Research Scientist (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Innovations at the forefront of the quantum revolution as we pioneer breakthroughs that will redefine technology by 2026. We're seeking a visionary Quantum Computing Research Scientist to architect the next generation of computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop fault-tolerant quantum systems, design novel algorithms for AI acceleration, and solve previously unsolvable problems in cryptography, materials science, and climate modeling.

Our state-of-the-art Quantum Neural Lab offers unparalleled resources including 512-qubit processors, cryogenic computing arrays, and a dedicated team of quantum software engineers. You'll shape our 2026 roadmap by publishing groundbreaking research, mentoring future quantum pioneers, and translating theoretical concepts into commercial applications that will transform global industries.

Responsibilities

  • Design and implement quantum algorithms for NISQ-era and fault-tolerant computing systems
  • Lead cross-functional R&D initiatives targeting quantum supremacy in AI optimization by 2026
  • Develop quantum error correction protocols to achieve >99.9% qubit fidelity
  • Collaborate with hardware teams to co-design quantum-classical hybrid architectures
  • Author peer-reviewed publications and patents in top-tier quantum computing journals
  • Mentor PhD researchers and interns in quantum information theory
  • Translate quantum research prototypes into scalable commercial solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or Computational Mathematics (or equivalent research experience)
  • 3+ years of hands-on quantum algorithm development with superconducting or photonic systems
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit Aqua)
  • Proficiency in high-performance computing environments and quantum simulation tools
  • Track record of publications in Nature/Science journals or IEEE Quantum
  • Strong background in linear algebra, complex analysis, and information theory
  • Experience with quantum hardware interfaces (QASM, OpenQASM 3.0)
  • Demonstrated ability to lead complex multi-disciplinary research projects

Required Skills

quantum computing quantum algorithms machine learning quantum error correction superconducting qubits photonic computing quantum cryptography AI optimization high-performance computing

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