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Quantum Computing Architect

Nexus Quantum Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Quantum Technologies at the forefront of 2026's technological revolution! We're seeking a visionary Quantum Computing Architect to design next-gen computational systems that will redefine industries. You'll lead groundbreaking projects in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and AI pioneers to build the quantum internet. Our culture blends Silicon Valley innovation with academic rigor, offering unparalleled growth in a field where today's breakthroughs become tomorrow's standards.

Why Nexus? Equity packages, unlimited R&D budget, and direct impact on quantum-resistant cryptography development. Shape the future of computing while enjoying competitive benefits and flexible hybrid work arrangements.

Responsibilities

  • Design scalable quantum computing architectures for enterprise applications
  • Lead cross-functional teams of physicists, engineers, and data scientists
  • Develop quantum error correction protocols for real-world deployment
  • Collaborate with AI/ML teams to hybridize quantum-classical workflows
  • Secure patents for novel quantum algorithms and hardware innovations
  • Present breakthrough findings at global tech summits and academic conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (MS with 5+ years experience)
  • Proven expertise in quantum circuit design and quantum annealing
  • Published research in Nature/Science or top-tier quantum journals
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Strong background in superconducting qubit manipulation
  • Experience with cryogenic engineering and quantum control systems
  • Track record of leading projects with $1M+ budgets

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Qiskit Cryogenic Engineering Quantum Error Correction Machine Learning High-Performance Computing Patent Development

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