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Quantum Computing Lead Engineer 2026

Nexus Tech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Tech Innovations as we pioneer the next frontier of computational science in 2026. We're seeking a visionary Quantum Computing Lead Engineer to architect and deploy scalable quantum systems that will redefine global industries. This role demands a blend of theoretical physics expertise, hands-on quantum hardware experience, and strategic innovation to solve humanity's most complex challenges.

Our multidisciplinary team operates at the intersection of quantum mechanics, artificial intelligence, and materials science. You'll collaborate with Nobel laureates, AI researchers, and cybersecurity experts to build quantum-resistant infrastructure and breakthrough algorithms. The position includes competitive equity, flexible work arrangements, and access to our state-of-the-art quantum lab.

Responsibilities

  • Design and implement fault-tolerant quantum computing architectures for enterprise applications
  • Lead cross-functional teams in developing quantum algorithms for optimization and simulation
  • Establish security protocols for quantum-resistant cryptography systems
  • Drive R&D initiatives in quantum error correction and hardware optimization
  • Collaborate with AI specialists to create hybrid quantum-classical workflows
  • Mentor junior engineers and publish research in peer-reviewed journals
  • Strategize 5-year roadmap for quantum adoption in financial and healthcare sectors

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum entanglement, superposition, and decoherence
  • Track record of deploying quantum algorithms on real hardware (IBM Quantum, Rigetti)
  • Expertise in cryogenic engineering and quantum control systems
  • Published research in quantum machine learning or quantum cryptography
  • Strong background in high-performance computing and parallel processing
  • Experience leading technical teams of 10+ engineers

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Q# Qiskit Quantum Cryptography AI Integration High-Performance Computing

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