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Quantum Computing Research Engineer

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Engineer, you'll collaborate with world-class physicists and software architects to develop scalable quantum algorithms and error-corrected systems. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources to push the boundaries of computational possibility.

Shape the future of artificial intelligence, cryptography, and material science while working alongside Nobel laureates and industry pioneers. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for groundbreaking projects.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols to stabilize qubit operations at scale
  • Collaborate with hardware teams to translate theoretical models into functional quantum circuits
  • Lead open-source quantum software initiatives and publish research in peer-reviewed journals
  • Architect hybrid quantum-classical computing frameworks for enterprise solutions
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and high-performance computing
  • Published research in quantum algorithms or quantum error correction
  • Experience with superconducting or photonic quantum hardware systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Demonstrated ability to lead cross-functional technical projects

Required Skills

Quantum Computing Qiskit Cirq Q# Error Correction Quantum Algorithms Machine Learning High-Performance Computing Superconducting Systems Photonic Hardware

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