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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026. We're seeking a brilliant Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with state-of-the-art quantum hardware and collaborate with Nobel laureates in our Austin innovation hub.

Our team is pushing the limits of quantum supremacy in cryptography, optimization, and machine learning. You'll contribute to projects with real-world impact across finance, healthcare, and materials science. We provide competitive compensation, flexible work arrangements, and access to cutting-edge research facilities.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Lead research publications in top-tier quantum computing journals
  • Drive quantum simulation projects for complex molecular modeling
  • Mentor junior researchers and foster cross-functional innovation
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum information science
  • Strong background in linear algebra and quantum mechanics
  • Proficiency with high-performance computing environments
  • Demonstrated ability to translate theoretical concepts to practical implementations

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cryptography Machine Learning High-Performance Computing Research

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