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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking visionary Quantum Computing Research Scientists to develop groundbreaking algorithms, optimize quantum systems, and solve previously unsolvable computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and collaborative opportunities with Nobel laureates and industry pioneers. If you're passionate about shaping the future of computation and thrive in environments where innovation meets execution, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to enhance quantum system stability
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault tolerance
  • Published research in quantum computing or quantum information theory
  • Experience with high-performance computing environments
  • Strong analytical skills with ability to abstract complex systems
  • Proven track record of innovative problem-solving in technical domains

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Machine Learning High-Performance Computing Research Methodology

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