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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary Quantum Computing Research Scientist to pioneer breakthroughs that will redefine technology by 2026. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility, where you'll develop quantum algorithms, optimize qubit stability, and contribute to the next generation of quantum processors. This is your opportunity to solve humanity's most complex challenges—from drug discovery to climate modeling—using quantum supremacy. We offer competitive equity packages, flexible remote work options, and unparalleled professional development in the quantum ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to enhance qubit coherence and fidelity
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Collaborate with hardware teams to translate theoretical models into scalable quantum systems
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure federal and private research grants for quantum innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoctoral experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Demonstrated expertise in quantum error correction and fault-tolerant architectures
  • Publication record in Nature/Science or equivalent high-impact journals
  • Experience with cryogenic quantum systems and microwave control electronics
  • Strong background in linear algebra, complex analysis, and information theory

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault-Tolerant Systems Cryogenics Machine Learning

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