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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist - 2026 Vision

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

Job Description

Join Nexus Labs at the cutting edge of technological evolution as we pioneer the quantum revolution of 2026. We're seeking a visionary Quantum Computing Research Scientist to architect the next generation of computational paradigms. This role offers unparalleled opportunities to shape humanity's digital future by solving previously unsolvable problems in cryptography, materials science, and AI optimization.

Our state-of-the-art Austin campus provides collaborative spaces where you'll work alongside Nobel laureates and industry pioneers. We offer competitive equity packages, flexible remote work options, and dedicated research budgets for experimental breakthroughs.

Responsibilities

  • Design and implement quantum algorithms for practical commercial applications
  • Lead cross-functional teams in prototyping quantum-resistant security protocols
  • Develop error-correction techniques for scalable quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware engineers to optimize quantum system architectures
  • Drive 2026 roadmap initiatives for quantum machine learning integration
  • Mentor junior researchers and foster innovation culture

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability, and complex systems
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Machine Learning Theoretical Physics Python C++ Research

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