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Quantum Computing Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Labs 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-generation systems that will revolutionize industries from healthcare to climate science. Our interdisciplinary team operates at the intersection of physics, computer science, and AI development in a collaborative, state-of-the-art research environment. This role offers unparalleled opportunity to shape the technological landscape of tomorrow while working with Nobel laureates and industry pioneers.

Responsibilities

  • Design scalable quantum computing architectures for enterprise applications
  • Develop error-correction protocols and quantum algorithms
  • Collaborate with AI teams to integrate quantum solutions with machine learning frameworks
  • Lead prototyping and testing of quantum hardware/software interfaces
  • Research emerging quantum technologies and patent breakthrough innovations
  • Mentor junior engineers in quantum physics principles and computational theory
  • Present findings at international conferences and industry symposiums

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years experience in quantum computing architecture design
  • Expertise in quantum error correction and fault-tolerant systems
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in peer-reviewed quantum computing journals
  • Experience with superconducting qubit manipulation and cryogenic systems
  • Strong background in high-performance computing and distributed systems
  • Proven ability to translate complex quantum concepts for non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Qiskit Superconducting Qubits Cryogenics Machine Learning Integration High-Performance Computing

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