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Quantum Computing Lead Engineer 2026

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the next wave of quantum computing solutions for 2026. We seek a visionary Quantum Computing Lead Engineer to architect groundbreaking systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and complex modeling while collaborating with Nobel Prize-winning researchers in our state-of-the-art quantum lab.

Our team operates at the intersection of physics, computer science, and engineering, developing error-corrected qubits and hybrid quantum-classical algorithms. You'll lead initiatives to overcome quantum decoherence challenges and design fault-tolerant systems capable of solving problems currently deemed impossible. We offer competitive equity packages, flexible hybrid work arrangements, and access to bleeding-edge quantum hardware.

Responsibilities

  • Architect scalable quantum algorithms and error-correction frameworks for 2026-era applications
  • Lead cross-functional teams in developing hybrid quantum-classical computing pipelines
  • Design quantum-resistant security protocols for next-gen financial and defense systems
  • Optimize qubit coherence times and gate fidelities using advanced control systems
  • Collaborate with academic partners to publish breakthrough research in Nature/Science journals
  • Drive quantum computing roadmap alignment with industry 4.0 and metaverse infrastructure
  • Mentor junior engineers in quantum mechanics principles and practical implementation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years experience with quantum algorithm development (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant system design
  • Proven track record publishing in top-tier quantum computing conferences
  • Strong background in cryogenic engineering and quantum control systems
  • Experience leading quantum hardware-software integration projects
  • Deep understanding of quantum machine learning applications
  • Certification in quantum security protocols (e.g., PQCrypto standards)

Required Skills

Quantum Computing Qiskit Cirq Error Correction Quantum Machine Learning Cryogenic Engineering Fault-Tolerant Systems Q# Cryptography AI/ML Metaverse Infrastructure

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