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Quantum Computing Architect

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum 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 Architect to design next-gen systems. You'll lead the development of fault-tolerant quantum processors and hybrid quantum-classical frameworks, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research.

We offer competitive equity, comprehensive benefits, and the opportunity to shape humanity's computational future. If you're passionate about solving unsolvable problems and pushing beyond classical computing limits, this is your moment.

Responsibilities

  • Design scalable quantum computing architectures with 100+ qubit coherence
  • Develop error correction protocols for practical quantum advantage
  • Create hybrid quantum-classical integration frameworks for enterprise applications
  • Lead cross-functional teams of physicists and software engineers
  • Establish quantum security protocols for next-gen cryptography
  • Publish research in top-tier quantum computing journals
  • Partner with industry leaders to identify quantum use cases
  • Secure patents for novel quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years experience with quantum hardware development
  • Expertise in quantum error correction and fault tolerance
  • Proficiency in quantum programming languages (Qiskit, Cirq)
  • Publication record in Nature/Science or IEEE journals
  • Experience with cryogenic quantum systems
  • Strong background in machine learning for quantum optimization
  • Proven ability to lead complex R&D projects

Required Skills

Quantum Computing Fault Tolerance Cryogenics Qiskit Cirq Quantum Cryptography Machine Learning R&D Leadership

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