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Quantum Computing Research Scientist

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the forefront of technological revolution as a Quantum Computing Research Scientist at Nexus Dynamics Inc. in San Francisco. Shape the future by developing cutting-edge quantum algorithms and solving complex computational challenges that will redefine industries by 2026. We offer unparalleled resources, a collaborative environment with Nobel laureates, and opportunities to publish groundbreaking research in top-tier journals.

As a pioneer in quantum innovation, you'll work with state-of-the-art hardware at our Silicon Valley campus, where we're building the world's first commercially viable quantum computer. Your work will directly impact fields from pharmaceuticals to artificial intelligence, making tangible contributions to humanity's technological advancement.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols to achieve quantum advantage at scale
  • Collaborate with hardware teams to co-design quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in Nature/Science journals and present at IEEE Quantum Week
  • Mentor PhD researchers and secure NSF/DARPA grants
  • Contribute to open-source quantum frameworks like Qiskit

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years hands-on quantum programming (Q#, Cirq, or Qiskit)
  • Expertise in quantum error correction and fault tolerance
  • Published research in quantum computing or quantum information
  • Strong background in linear algebra and computational complexity
  • Experience with superconducting or trapped-ion quantum systems
  • Proficiency in Python, C++, and high-performance computing

Required Skills

Quantum Computing Qiskit Quantum Algorithms Error Correction Machine Learning Python C++ Superconducting Systems Quantum Information Theory

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