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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of 2026's quantum revolution! We're pioneering next-gen computing solutions that will redefine industries. As a Quantum Computing Research Scientist, you'll architect breakthrough algorithms in our state-of-the-art Austin facility. Collaborate with Nobel laureates and solve humanity's most complex challenges in cryptography, AI, and materials science. Our startup environment offers unparalleled autonomy, equity packages, and access to quantum hardware unavailable elsewhere.

Shape the future of technology while enjoying Austin's vibrant culture, competitive compensation, and comprehensive benefits including relocation assistance.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead cutting-edge research in quantum error correction and fault tolerance
  • Collaborate with engineering teams to prototype quantum solutions
  • Publish high-impact research in top-tier journals and conferences
  • Develop quantum software frameworks for enterprise adoption
  • Mentor junior researchers and foster an innovative lab culture
  • Secure external funding through grants and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in quantum information theory
  • Published record in quantum computing or related fields
  • Experience with superconducting or photonic quantum systems
  • Excellent problem-solving skills and creative thinking
  • Ability to translate complex concepts into actionable research plans

Required Skills

Quantum Computing Quantum Algorithms Quantum Programming Quantum Error Correction Superconducting Qubits Cirq Qiskit Cryptography Machine Learning Research Methodology

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