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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 130.000 – USD 180.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Research Scientists to develop breakthrough algorithms, optimize quantum systems, and solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative environment for innovators shaping tomorrow's digital landscape.

Why Join Us?

  • Access to quantum hardware and cloud platforms
  • Collaboration with Nobel laureates and industry pioneers
  • Competitive equity packages and comprehensive benefits
  • Flexible hybrid work arrangements

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning
  • Develop error-correction techniques to enhance quantum system stability
  • Collaborate with hardware teams to integrate software solutions with quantum processors
  • Publish research in top-tier journals and present at international conferences
  • Lead cross-functional projects with AI, cybersecurity, and materials science teams
  • Secure research grants and patents for breakthrough innovations

Qualifications

  • PhD in Physics, Computer Science, Mathematics, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, probability, and algorithm design
  • Publication record in quantum information science or related fields
  • Experience with quantum simulation tools and high-performance computing
  • Demonstrated ability to translate theoretical concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryptography Machine Learning Error Correction High-Performance Computing

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