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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026's digital landscape. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will power the next generation of computational systems. In this role, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges in cryptography, materials science, and AI optimization. Our Austin headquarters features state-of-the-art quantum labs and unparalleled resources for world-class research.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques for quantum processors
  • Collaborate with hardware teams to co-design quantum architectures
  • Lead research publications in top-tier quantum computing journals
  • Advise on quantum security protocols for 2026's digital infrastructure
  • Mentor junior researchers in quantum physics and computational theory
  • Secure competitive research grants and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum computing or quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Quil)
  • Strong background in linear algebra, probability theory, and complexity classes
  • Experience with superconducting or ion-trap quantum systems
  • Demonstrated ability to secure competitive research funding
  • Passion for translating theoretical breakthroughs into practical applications

Required Skills

Quantum Computing Quantum Algorithms Quantum Cryptography Qiskit Cirq Quantum Error Correction Quantum Hardware Machine Learning Python Research Methodology

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