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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine industries. In this pivotal role, you'll bridge theoretical physics with practical enterprise solutions, working in our state-of-the-art Austin facility. Collaborate with Nobel laureates, lead cutting-edge research initiatives, and shape the quantum landscape that will power the future. We offer unparalleled resources, competitive equity packages, and the opportunity to solve humanity's most complex challenges.

Responsibilities

  • Design scalable quantum algorithms for real-world enterprise applications
  • Lead quantum hardware-software integration projects with industry partners
  • Develop error-correction frameworks for fault-tolerant quantum systems
  • Drive innovation in quantum machine learning and cryptography solutions
  • Mentor cross-functional teams of physicists and software engineers
  • Secure patents and publish breakthrough research in peer-reviewed journals
  • Shape quantum computing standards for 2026+ technology ecosystems

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction and fault tolerance methodologies
  • Proven track record of publishing in Nature/Science journals
  • Strong background in superconducting or trapped-ion quantum systems
  • Experience leading R&D teams in high-tech environments
  • Deep understanding of quantum machine learning algorithms
  • Ability to translate complex quantum concepts for executive stakeholders

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Fault Tolerance Quantum Machine Learning Superconducting Systems Cryptography Theoretical Physics

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