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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 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 seek a visionary Research Scientist to develop next-gen quantum algorithms and systems that will redefine global computing paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your work directly impacts the future of AI, cryptography, and materials science.

As part of our elite R&D team, you'll leverage our quantum annealing supercomputers and collaborate with Nobel laureates to solve previously unsolvable challenges. We provide comprehensive benefits including stock options, flexible work arrangements, and continuous learning stipends to fuel your professional growth.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Conduct cutting-edge research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to bridge theoretical models with practical quantum processors
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Lead cross-functional projects in quantum cryptography and secure communications
  • Develop predictive models for quantum system performance under realistic noise conditions
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Proficiency in Python, C++, and quantum simulation environments
  • Deep understanding of quantum mechanics principles and linear algebra
  • Experience with machine learning frameworks (TensorFlow/PyTorch) for hybrid quantum-classical models
  • Strong analytical skills with ability to troubleshoot complex quantum system behaviors

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Physics Python C++ Qiskit Cryptography Research Linear Algebra

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