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Quantum Computing Architect

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Computing Architect to design next-gen systems that will redefine computational boundaries. You'll lead research initiatives in quantum algorithms, error correction, and hardware-software integration while mentoring a team of quantum pioneers.

Our San Francisco headquarters offers state-of-the-art labs and collaborative spaces where your innovations will directly impact fields from drug discovery to climate modeling. We provide competitive equity packages, flexible work arrangements, and continuous learning opportunities through our Future Skills Academy.

Responsibilities

  • Design scalable quantum computing architectures for commercial applications
  • Lead cross-functional teams in developing quantum algorithms for real-world problems
  • Drive research in quantum error correction and fault tolerance systems
  • Collaborate with hardware teams to optimize quantum-classical interfaces
  • Develop strategic roadmaps for quantum technology adoption in enterprise environments
  • Mentor junior quantum engineers and publish breakthrough research
  • Secure patents and intellectual property for novel quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Proven expertise in quantum algorithm design and optimization
  • Strong background in quantum error correction and fault tolerance
  • Experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Demonstrated leadership in quantum research or development projects
  • Published research in peer-reviewed quantum computing journals
  • Expertise in high-performance computing and parallel processing

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Error Correction Fault Tolerance High-Performance Computing Machine Learning

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