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Quantum Computing Architect

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

Job Description

Join Nexus Future Labs at the forefront of technological revolution 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. You'll lead cross-disciplinary teams to develop scalable quantum algorithms, optimize hardware-software interfaces, and solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the quantum landscape while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.

Responsibilities

  • Design and implement fault-tolerant quantum computing architectures for enterprise-scale applications
  • Develop hybrid quantum-classical workflows to optimize computational efficiency
  • Lead R&D initiatives for quantum error correction and coherence enhancement
  • Collaborate with hardware engineers to optimize qubit connectivity and gate operations
  • Create quantum security protocols for next-gen cryptography systems
  • Translate business requirements into quantum algorithmic solutions
  • Publish breakthrough research in top-tier quantum computing journals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of quantum algorithm development and architecture design
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of implementing quantum solutions in production environments
  • Strong background in quantum hardware platforms (superconducting, trapped ion, photonic)
  • Experience leading cross-functional technical teams in high-stakes projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Fault Tolerance Cryptography Machine Learning High-Performance Computing

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