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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and hardware integration solutions. This role offers unparalleled access to cutting-edge lab facilities and collaboration with Nobel laureate advisors. You'll contribute to projects that could transform cryptography, drug discovery, and AI optimization while shaping the future of computational science.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era applications
  • Lead experimental research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize qubit coherence and gate fidelity
  • Publish peer-reviewed papers and present findings at international conferences
  • Develop quantum machine learning frameworks for industrial applications
  • Mentor junior researchers and cross-functional innovation teams
  • Secure patents for proprietary quantum methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years of hands-on quantum computing research with superconducting/ion trap systems
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published work in top-tier quantum computing journals (Nature, Science, PRL)
  • Deep understanding of quantum information theory and complexity classes
  • Experience with cryogenic systems and quantum measurement instrumentation
  • Track record of securing government/industry research funding
  • Strong background in high-performance computing architectures

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Qubits Machine Learning Research Methodology Scientific Publication Fault-Tolerant Systems

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