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Quantum Computing Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Future Technologies at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. In this pivotal role, you'll lead the development of scalable quantum algorithms and hybrid quantum-classical frameworks, collaborating with Nobel laureates and industry disruptors. Our cutting-edge lab features 128-qubit processors and partners with NASA, MIT, and the Department of Energy. This is your opportunity to shape humanity's technological future while enjoying unparalleled benefits including equity, flexible schedules, and a $10k annual innovation fund.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Architect hybrid quantum-classical systems with 99.9% fidelity
  • Lead cross-functional teams of physicists and software engineers
  • Develop error-correction protocols for fault-tolerant quantum computing
  • Collaborate with government agencies on quantum security standards
  • Publish research in Nature Quantum Information and IEEE journals
  • Mentor junior scientists in quantum machine learning techniques

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience with quantum programming (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault tolerance
  • Published research in top-tier quantum computing journals
  • Strong background in linear algebra and quantum information theory
  • Experience with superconducting and ion-trap quantum processors
  • Proven track record of leading high-impact R&D projects
  • Security clearance preferred for government collaborations

Required Skills

Quantum Computing Qiskit Q# Quantum Error Correction Fault Tolerance Quantum Algorithms Superconducting Processors Ion-Trap Systems Hybrid Quantum-Classical Systems Machine Learning

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