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Quantum Computing Architect 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum Computing Architect to pioneer breakthroughs that will define 2026 and beyond. In this pivotal role, you'll design next-gen quantum systems that revolutionize industries, from drug discovery to AI optimization. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco campus. We offer unparalleled resources, competitive equity packages, and the autonomy to shape tomorrow's digital landscape. If you're ready to build the impossible, apply now.

Responsibilities

  • Architect scalable quantum computing frameworks for enterprise-level deployment by 2026
  • Lead R&D initiatives in quantum error correction and qubit stability
  • Develop hybrid quantum-classical algorithms for real-world applications
  • Mentor cross-functional teams in quantum physics and machine learning integration
  • Secure $10M+ in federal and private funding for quantum innovation
  • Publish 3+ peer-reviewed papers in Nature/Science journals annually
  • Drive patent strategy for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or equivalent with 8+ years industry experience
  • Proven track record in quantum hardware design or quantum algorithm development
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in top-tier quantum computing journals
  • Experience securing government/DoD quantum research grants
  • Deep understanding of quantum entanglement and decoherence mitigation
  • Strong background in cryogenic systems and superconducting qubits
  • Leadership experience managing quantum research teams of 15+

Required Skills

Quantum Computing Qiskit Quantum Algorithms Cryogenic Engineering Qubit Design Quantum Error Correction Machine Learning Scientific Computing

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