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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for the 2026 frontier. We seek an innovative Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable computational challenges. You'll collaborate with world-class physicists and engineers in our state-of-the-art Austin R&D facility, pushing the boundaries of quantum supremacy and practical applications.

This role offers unparalleled opportunities to shape the future of computing while working with cutting-edge quantum hardware systems. We provide competitive compensation, flexible work arrangements, and generous R&D funding for groundbreaking projects.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques to enhance quantum system stability
  • Collaborate with hardware engineers to co-design quantum processors
  • Lead research publications in top-tier quantum computing journals
  • Translate theoretical models into practical quantum software solutions
  • Secure external funding through NSF and DoD grant applications
  • Mentor junior researchers in quantum computational methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum error correction or fault tolerance
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing environments
  • Track record of securing competitive research grants
  • Excellent written and verbal communication skills

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq quantum information theory linear algebra high-performance computing research grants

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