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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next era of computing. As a Quantum Computing Research Scientist, you'll shape the future by solving complex problems that classical computers cannot address. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaboration opportunities with leading physicists and engineers. We offer competitive compensation, comprehensive benefits, and a culture that values innovation and intellectual curiosity. Help us unlock the potential of quantum mechanics to transform industries worldwide.

Responsibilities

  • Design and execute cutting-edge quantum algorithms for optimization, cryptography, and machine learning applications
  • Collaborate with hardware engineers to develop quantum circuits and error correction protocols
  • Lead research initiatives in quantum supremacy and hybrid quantum-classical systems
  • Publish findings in top-tier scientific journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through government grants and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Strong background in linear algebra, quantum mechanics, and information theory
  • Proven track record of peer-reviewed publications in quantum computing
  • Experience with quantum hardware platforms (superconducting qubits, trapped ions, photonics)
  • Ability to translate complex theoretical concepts into practical applications
  • Excellent communication skills for cross-functional collaboration

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Mechanics Machine Learning Cryptography Linear Algebra Q# Research

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