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Quantum Computing Research Scientist

Nexus Innovations Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and architectures that solve previously impossible computational challenges. Our state-of-the-art Austin lab offers unparalleled resources for quantum experimentation and collaborative innovation.

This role provides an opportunity to shape the next generation of computing while working alongside Nobel laureates and industry pioneers. We offer competitive equity packages, flexible work arrangements, and dedicated R&D funding for your groundbreaking projects.

Responsibilities

  • Design and implement quantum algorithms for complex optimization and simulation problems
  • Develop error correction protocols to overcome quantum decoherence challenges
  • Collaborate with hardware teams to prototype novel quantum architectures
  • Lead cross-functional research initiatives in quantum machine learning
  • Publish findings in top-tier journals and present at global conferences
  • Secure and manage research grants for quantum computing initiatives
  • Mentor junior researchers in quantum theory and experimental techniques

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, probability, and computational complexity
  • Demonstrated ability to secure competitive research grants
  • Experience with superconducting or trapped-ion quantum systems

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Quantum Machine Learning Linear Algebra Research Grants

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