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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum computing solutions that will redefine industries. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems capable of solving previously unsolvable challenges. This role offers unparalleled opportunities to collaborate with Nobel laureates and work in state-of-the-art laboratories while contributing to breakthroughs in cryptography, AI optimization, and molecular modeling.

Why Nexus Labs? We offer competitive equity packages, flexible hybrid work arrangements, and a culture that celebrates intellectual curiosity. Our Austin campus features cutting-edge research facilities, wellness studios, and collaborative spaces designed for innovation.

Responsibilities

  • Design and implement quantum algorithms for complex computational problems
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish findings in peer-reviewed journals and present at international conferences
  • Develop roadmaps for quantum computing applications in finance, healthcare, and logistics
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in top-tier quantum computing journals
  • Deep understanding of quantum mechanics and information theory
  • Experience with high-performance computing environments
  • Strong analytical and problem-solving abilities

Required Skills

Quantum Computing Algorithm Development Quantum Programming Cryptography Machine Learning High-Performance Computing Research Methodology

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