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Quantum Computing Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join the quantum revolution at Nexus Quantum Labs! We're pioneering the next frontier of computing and seeking a visionary Quantum Computing Scientist to architect breakthrough solutions. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms that will redefine industries from cryptography to drug discovery.

Our state-of-the-art facility in San Francisco houses the world's most advanced quantum processors. You'll lead research initiatives in error correction, quantum machine learning, and topological qubits while mentoring the next generation of quantum pioneers. We offer competitive compensation, equity, and unparalleled resources to accelerate your groundbreaking work.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead research initiatives in quantum error correction and fault tolerance
  • Develop quantum machine learning frameworks for predictive analytics
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish findings in premier journals and present at international conferences
  • Mentor junior researchers and drive quantum literacy initiatives
  • Secure patents for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Proven track record of publishing in Nature/Science or top-tier quantum conferences
  • Deep understanding of quantum algorithms and complexity theory
  • Strong proficiency in Python, C++, and quantum simulation frameworks
  • Experience with superconducting or photonic quantum systems
  • Exceptional problem-solving skills and collaborative mindset

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Physics Python C++ Research Quantum Programming

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