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Quantum Computing Architect 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Architect to design next-gen quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Austin facility.

Responsibilities

  • Design and implement scalable quantum computing architectures using superconducting qubits and photonic systems
  • Lead cross-disciplinary R&D teams to overcome quantum decoherence and error correction challenges
  • Develop hybrid quantum-classical algorithms for enterprise applications in finance and healthcare
  • Partner with quantum hardware manufacturers to co-design next-generation quantum processors
  • Create quantum security protocols resistant to future cryptographic threats
  • Present breakthrough findings at international quantum conferences and publish in top-tier journals
  • Drive quantum literacy programs across Fortune 500 partner organizations

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience considered)
  • 5+ years of hands-on quantum algorithm development or quantum hardware design
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error mitigation techniques
  • Proven track record of publishing peer-reviewed quantum computing research
  • Deep understanding of quantum entanglement, superposition, and quantum gate operations
  • Experience with cryogenic quantum systems and quantum control electronics
  • Strong background in machine learning and high-performance computing architectures

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Qiskit Q# Quantum Error Correction Cryogenics Machine Learning High-Performance Computing

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