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Quantum Infrastructure Architect 2026

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing infrastructure for 2026. We're seeking a visionary Quantum Infrastructure Architect to design and deploy next-generation systems that will redefine computational boundaries. This role sits at the intersection of quantum mechanics, cloud architecture, and AI optimization, offering unparalleled opportunities to shape the digital landscape of tomorrow.

You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where innovation isn't just encouraged—it's our core mandate. Our comprehensive benefits package includes equity, unlimited learning stipends, and flexible hybrid work arrangements designed for peak performance.

Responsibilities

  • Design fault-tolerant quantum computing architectures with 10,000+ qubit scalability
  • Develop hybrid quantum-classical workflows for enterprise AI optimization
  • Lead cross-functional teams in implementing quantum-resistant encryption protocols
  • Architect cryogenic cooling systems and photonic interconnect solutions
  • Create predictive maintenance models for quantum hardware reliability
  • Drive quantum software integration with legacy cloud infrastructure
  • Present breakthrough findings at international quantum symposiums

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years designing quantum or supercomputing infrastructure
  • Expertise in quantum error correction and fault-tolerant computing
  • Proficiency with quantum programming languages (Q#, Quil, Cirq)
  • Deep understanding of quantum hardware limitations and workarounds
  • Published research in peer-reviewed quantum computing journals
  • Experience with cryogenic systems and photonic engineering
  • Strong background in machine learning for quantum system optimization

Required Skills

Quantum Computing Cryogenic Engineering Quantum Error Correction Photonic Interconnects Hybrid Cloud Architecture Machine Learning Q# Fault-Tolerant Systems

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