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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, contributing to breakthroughs in cryptography, AI optimization, and materials science. We offer competitive equity packages, flexible work arrangements, and unparalleled professional development opportunities in one of America's most vibrant tech ecosystems.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish peer-reviewed research in top-tier journals and conferences
  • Secure government and private funding for experimental quantum projects
  • Mentor junior researchers in quantum information theory
  • Develop quantum error-correction methodologies for fault-tolerant systems
  • Collaborate with AI teams to integrate quantum-classical hybrid models

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum computing or quantum information theory
  • Deep understanding of quantum mechanics and computational complexity
  • Experience with superconducting or trapped-ion quantum systems
  • Strong background in linear algebra and probability theory
  • Proven ability to secure competitive research grants

Required Skills

Quantum Computing Quantum Algorithms Quantum Programming Qiskit Cirq Quantum Error Correction Quantum Cryptography Machine Learning Superconducting Systems Trapped-Ion Technology Research Methodology Scientific Publishing

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