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Quantum Computing Research Scientist

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

Job Description

Step into the future with Nexus Labsβ€”a pioneer in quantum computing solutions. We're seeking a visionary Quantum Computing Research Scientist to join our Austin team and shape the technological landscape of 2026. In this role, you'll develop groundbreaking quantum algorithms, collaborate with world-class physicists, and pioneer solutions that will redefine industries. Our state-of-the-art facility offers unparalleled resources, including access to next-generation quantum processors and a culture of relentless innovation. If you're passionate about pushing the boundaries of computational science, this is your moment.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to integrate quantum software with proprietary quantum processors
  • Develop and validate quantum simulation frameworks for complex scientific modeling
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation across quantum and AI domains

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of quantum research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability theory, and computational complexity
  • Proficiency in high-performance computing environments and parallel programming
  • Track record of translating theoretical concepts into practical quantum applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Fault-Tolerant Systems Cryptography Machine Learning High-Performance Computing

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