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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer the quantum frontier. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and systems that will redefine computing paradigms. Our state-of-the-art facility in San Francisco offers unparalleled resources to explore uncharted territories in quantum mechanics and machine learning. This role provides the opportunity to shape the future of technology while working alongside Nobel Prize-winning physicists and world-class engineers.

We offer competitive compensation, flexible work arrangements, and a culture that celebrates intellectual curiosity and bold experimentation. If you're ready to solve humanity's most complex challenges using quantum principles, we invite you to apply.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research initiatives in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware engineering teams to prototype quantum circuits on superconducting and photonic platforms
  • Develop quantum machine learning frameworks that leverage quantum advantage for real-world problems
  • Publish peer-reviewed research in leading scientific journals and present findings at international conferences
  • Mentor junior researchers and contribute to quantum computing educational initiatives
  • Secure external funding through NSF, DoE, and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, Applied Mathematics, or related field with 3+ years of research experience
  • Expertise in quantum algorithm design and quantum information theory
  • Proficiency in quantum programming languages (Q#, Quil, or Qiskit) and simulation frameworks
  • Strong background in machine learning and statistical analysis methods
  • Demonstrated ability to publish high-impact research in quantum computing
  • Experience with quantum hardware platforms (superconducting qubits, trapped ions, or photonic systems)
  • Excellent written and verbal communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Q# Python C++ Research Fault-Tolerant Systems Quantum Hardware

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