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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of quantum innovation as we architect the computational landscape of 2026. We seek a pioneering Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine technological boundaries. This role offers unparalleled access to cutting-edge hardware and collaborative teams dedicated to solving humanity's most complex challenges. If you're driven to transform theoretical possibilities into tangible solutions, this is your moment to shape the future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Collaborate with hardware engineers to optimize quantum circuit implementations
  • Lead research initiatives in error correction and fault-tolerant quantum systems
  • Publish high-impact research in peer-reviewed journals and industry conferences
  • Develop quantum software frameworks accessible to non-specialist researchers
  • Secure external funding through NSF, DoD, and private quantum research grants
  • Mentor junior researchers in quantum programming and experimental design

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
  • 5+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Demonstrated publication record in top-tier quantum research venues
  • Expertise in quantum error correction and fault-tolerance techniques
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Experience with high-performance computing and parallel processing
  • Entrepreneurial mindset with passion for translating research to commercial applications

Required Skills

Quantum Algorithms Quantum Error Correction Qiskit Cirq Fault-Tolerant Computing Quantum Hardware Machine Learning High-Performance Computing

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