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2026 Quantum Computing Architect

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a visionary 2026 Quantum Computing Architect to design and implement next-generation quantum systems that will redefine technological boundaries. This role offers the unique opportunity to shape the future of computing while working with cutting-edge hardware and algorithms in our state-of-the-art San Francisco facility.

As a key member of our Quantum Innovation Division, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum architectures. We offer competitive equity packages, unlimited PTO, and a culture that celebrates intellectual curiosity and breakthrough thinking.

Responsibilities

  • Design fault-tolerant quantum computing architectures for 2026-era applications
  • Develop hybrid quantum-classical algorithms for optimization and simulation
  • Lead quantum hardware-software integration projects
  • Collaborate with cross-functional teams to define quantum computing roadmaps
  • Research and implement quantum error correction methodologies
  • Drive innovation in quantum machine learning applications
  • Present findings at industry conferences and peer-reviewed journals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum hardware design
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in top-tier quantum computing journals
  • Deep understanding of quantum error correction and decoherence
  • Experience with superconducting or photonic quantum systems
  • Strong background in high-performance computing architectures
  • Track record of leading complex technical projects from concept to deployment

Required Skills

Quantum Computing Quantum Algorithms Quantum Hardware Qiskit Cirq Q# Quantum Error Correction Superconducting Systems Machine Learning High-Performance Computing

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