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Quantum Computing Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering breakthroughs in quantum computing that will redefine industries by 2026. As a Quantum Computing Researcher, you'll collaborate with Nobel laureates and cutting-edge engineers to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum simulators and AI-assisted development platforms. We offer competitive equity packages, flexible work arrangements, and continuous learning opportunities to ensure you remain at the vanguard of quantum innovation.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography and optimization problems
  • Develop error-correction techniques to stabilize qubit operations in real-world environments
  • Collaborate with AI teams to hybridize classical-quantum machine learning models
  • Lead experiments on quantum hardware platforms including superconducting and photonic systems
  • Publish research in top-tier journals and present findings at international conferences
  • Mentor junior researchers and contribute to quantum computing curriculum development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#) and Python
  • Published research in quantum algorithms or quantum error correction
  • Experience with quantum hardware integration and low-level control systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Demonstrated ability to work in cross-functional teams with physicists and engineers
  • Passion for ethical AI development and quantum security protocols

Required Skills

Quantum Computing Qiskit Cirq Python Quantum Algorithms Error Correction Machine Learning Cryptography

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