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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're seeking a pioneering Quantum Computing Research Scientist to architect breakthrough solutions for 2026's most complex challenges. This role offers unparalleled opportunity to shape the future of technology by developing quantum algorithms, optimizing qubit stability, and solving problems deemed impossible for classical systems.

As a key innovator in our Austin R&D hub, you'll collaborate with Nobel laureates and industry disruptors to push quantum computing boundaries. We offer competitive compensation, cutting-edge resources, and the autonomy to explore revolutionary concepts that will redefine industries from cryptography to drug discovery.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction techniques to enhance qubit coherence times
  • Lead experimental validation of quantum protocols on superconducting platforms
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish peer-reviewed research and present findings at global quantum conferences
  • Mentor junior researchers and foster cross-disciplinary innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • Minimum 5 years in quantum research with demonstrated algorithm development
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in quantum error correction and fault tolerance
  • Publication record in top-tier quantum computing journals
  • Experience with cryogenic quantum systems and microwave control electronics
  • Proven ability to translate complex quantum concepts into actionable research

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Cryogenic Systems Machine Learning

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