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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries worldwide. As a Quantum Computing Research Scientist, you'll develop cutting-edge algorithms, optimize quantum circuits, and collaborate with elite teams to solve previously impossible computational challenges. Our Austin hub offers state-of-the-art facilities and an environment where innovation thrives.

If you're passionate about pushing the boundaries of quantum mechanics and want to contribute to technologies that will shape humanity's future, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and simulation
  • Develop error-correction techniques to enhance quantum processor stability
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead research initiatives in quantum machine learning applications
  • Publish breakthrough findings in top-tier scientific journals
  • Mentor junior researchers and foster cross-functional innovation
  • Secure patents for proprietary quantum methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 5+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum decoherence and error mitigation
  • Publication record in quantum computing or condensed matter physics
  • Experience with high-performance computing environments
  • Strong analytical skills with ability to translate complex theories into practical solutions
  • Proven track record of leading successful research projects

Required Skills

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

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