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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Architect

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Architect, you'll design next-gen systems that redefine computational boundaries. We're seeking visionary minds to transform theoretical quantum mechanics into scalable, real-world applications.

Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative freedom. You'll work alongside Nobel laureates and industry pioneers to solve humanity's most complex challenges—from climate modeling to drug discovery.

Responsibilities

  • Design and implement quantum circuit architectures for enterprise-scale applications
  • Develop error-correction protocols to maintain quantum coherence in large systems
  • Lead cross-functional teams of physicists and software engineers in quantum algorithm development
  • Optimize quantum-classical hybrid computing workflows for performance efficiency
  • Contribute to open-source quantum frameworks and publish research in peer-reviewed journals
  • Collaborate with clients to translate quantum solutions into industry-specific applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years of experience in quantum computing architecture or quantum algorithm design
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Publication record in quantum computing or high-performance computing
  • Experience leading technical teams and managing R&D projects
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Fault Tolerance High-Performance Computing Linear Algebra R&D Leadership

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