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Quantum Computing Research Engineer

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum Computing Research Engineer to develop next-generation algorithms and systems that will redefine computing paradigms. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and contribute to breakthroughs in cryptography, optimization, and materials science.

Our Austin-based innovation hub provides state-of-the-art facilities and a collaborative environment where your ideas will shape the future. We offer competitive compensation, comprehensive benefits, and dedicated resources for professional development in quantum technologies.

Responsibilities

  • Design and implement quantum algorithms for practical applications
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop error correction protocols for scalable quantum systems
  • Lead research initiatives in quantum machine learning and AI integration
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, etc.)
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Demonstrated ability to publish high-impact research papers
  • Experience with superconducting or trapped-ion quantum systems
  • Excellent problem-solving skills and innovative mindset
  • Strong communication abilities for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Cryptography Machine Learning Research Physics

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