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Quantum Computing Research Scientist - 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next frontier of computing. Our interdisciplinary team is developing breakthrough quantum algorithms and hardware solutions that will redefine industries by 2026. This is your opportunity to shape the future of information processing in a collaborative, state-of-the-art environment.

We offer competitive compensation, cutting-edge resources, and unparalleled professional development. If you're passionate about quantum mechanics, algorithm design, and solving humanity's most complex challenges, we want to hear from you.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to integrate quantum processors with classical computing architectures
  • Publish high-impact research in leading scientific journals and conferences
  • Lead cross-functional projects to solve real-world industry challenges using quantum approaches
  • Mentor junior researchers and contribute to quantum computing education initiatives

Qualifications

  • PhD in Physics, Computer Science, Mathematics, or related field (or equivalent research experience)
  • 3+ years of hands-on experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Strong background in quantum information theory and quantum error correction
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated publication record in quantum computing or related fields
  • Experience with machine learning integration in quantum systems
  • Ability to secure government or industry research funding

Required Skills

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

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