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Quantum Computing Architect 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering next-gen quantum systems that will redefine 2026's technological landscape. As a Quantum Computing Architect, you'll design scalable quantum architectures, lead cutting-edge research, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where curiosity fuels innovation.

What you'll achieve:

  • Architect fault-tolerant quantum processors for real-world applications
  • Develop hybrid quantum-classical algorithms for AI acceleration
  • Lead cross-functional teams in building quantum supremacy systems
  • Secure patents in quantum error correction and topological qubits
  • Mentor the next generation of quantum engineers

Responsibilities

  • Design and implement scalable quantum computing architectures
  • Develop quantum algorithms for optimization and simulation problems
  • Collaborate with hardware teams on qubit coherence and control systems
  • Create quantum software development frameworks and APIs
  • Lead quantum security protocols for post-quantum cryptography
  • Present breakthrough research at premier quantum conferences
  • Secure $10M+ in government and industry research grants

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing architecture
  • Expertise in quantum error correction and fault tolerance
  • Published research in Nature/Science on quantum systems
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Experience with superconducting and photonic qubit platforms
  • Strong background in machine learning and high-performance computing

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Q# Superconducting Qubits Photonic Computing Machine Learning Fault-Tolerant Design

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