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Quantum Computing Architect

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 220.000 – USD 350.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next wave of computational power. We're seeking a visionary Quantum Computing Architect to design and implement scalable quantum solutions for 2026 and beyond. This role combines cutting-edge physics with software engineering to solve humanity's most complex challenges.

About the Role: You'll lead the development of fault-tolerant quantum systems, collaborate with Nobel laureates, and shape the future of artificial intelligence, cryptography, and materials science. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where innovation thrives.

Responsibilities

  • Design quantum algorithms and circuits optimized for 2026 hardware capabilities
  • Architect hybrid quantum-classical computing frameworks
  • Lead research in quantum error correction and decoherence mitigation
  • Develop security protocols for post-quantum cryptography systems
  • Mentor interdisciplinary teams of physicists and software engineers
  • Collaborate with Fortune 500 partners to implement quantum solutions
  • Publish breakthrough research in top-tier journals and conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum algorithm development
  • Expertise in quantum programming languages (Q#, Quipper, Qiskit)
  • Strong background in linear algebra and complex analysis
  • Published research in quantum computing or quantum information theory
  • Experience with superconducting or ion-trap quantum systems
  • Certification in quantum machine learning frameworks
  • Proven ability to translate theoretical concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Quantum Cryptography Fault-Tolerant Systems Qiskit Q# Superconducting Qubits Quantum Machine Learning Cryogenic Engineering

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