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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop scalable quantum algorithms and hardware solutions that will redefine computational boundaries. Our Austin-based R&D hub offers unparalleled resources and collaborative opportunities with MIT-caliber researchers. Work in state-of-the-art labs with access to IBM Quantum and D-Wave systems while contributing to projects that will shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Lead research initiatives targeting quantum advantage for 2026 commercial applications
  • Publish breakthrough research in Nature Physics and IEEE Quantum journals
  • Secure $2M+ in government grants and industry partnerships
  • Mentor PhD researchers and quantum engineering interns

Qualifications

  • PhD in Quantum Physics, Computer Science, or Electrical Engineering with 3+ years industry experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#) and simulation tools
  • Published research in top-tier quantum computing journals or conferences
  • Deep understanding of quantum error correction and fault tolerance principles
  • Experience with superconducting qubit systems or trapped-ion technologies
  • Strong background in linear algebra, complex analysis, and information theory
  • Track record of securing competitive research grants or venture funding

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq superconducting qubits trapped-ion systems quantum cryptography machine learning linear algebra grant writing

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