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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as a Quantum Computing Research Scientist. We're pioneering breakthroughs that will redefine computing by 2026, and we need visionary minds to accelerate our mission. You'll work in a state-of-the-art facility collaborating with Nobel laureates and industry pioneers to solve humanity's most complex problems—from drug discovery to climate modeling. Our culture thrives on intellectual curiosity, rapid experimentation, and transformative innovation.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance, logistics, and AI
  • Lead experimental research on quantum error correction and hardware optimization
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to prototype next-generation quantum processors
  • Publish high-impact research in leading journals and present at international conferences
  • Secure and manage research grants from NSF, DARPA, and industry partners
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Expertise in quantum algorithms, error correction, or quantum machine learning
  • Published research in quantum computing or theoretical physics
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Demonstrated ability to translate theoretical concepts into experimental prototypes
  • Strong background in linear algebra, probability, and information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Quantum Hardware Research Data Analysis

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