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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine industries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of computational science.

Our Austin-based R&D center provides cutting-edge facilities, competitive equity packages, and flexible work arrangements. You'll lead breakthrough projects in quantum error correction, machine learning integration, and cryptographic systems while mentoring the next generation of quantum pioneers.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop hybrid quantum-classical architectures
  • Publish peer-reviewed research in top-tier journals/conferences
  • Secure federal and industry research grants (NSF, DoD, DARPA)
  • Mentor PhD candidates and junior researchers
  • Develop quantum machine learning frameworks for practical applications

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Demonstrated ability to secure competitive research funding
  • Excellent communication and presentation skills

Required Skills

Quantum Computing Algorithm Design Quantum Error Correction Machine Learning Research Methodology Qiskit Q# Statistical Mechanics

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