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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the future of technology at Nexus Quantum Labs. We're pioneering quantum computing breakthroughs that will revolutionize industries by 2026. Join our elite research team in Austin to develop next-generation quantum algorithms and systems that will transform healthcare, cryptography, and AI.

This role offers unparalleled access to cutting-edge quantum hardware and collaborative partnerships with global research institutions. You'll work alongside Nobel laureates and tech visionaries in our state-of-the-art facility, contributing to projects that will define the quantum era.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead experimental quantum computing research using superconducting qubits and photonic systems
  • Develop quantum error correction protocols to overcome decoherence challenges
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish breakthrough research in top-tier journals and industry conferences
  • Secure funding through competitive grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
  • Expertise in quantum algorithm design and quantum information theory
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra, complex analysis, and statistical mechanics
  • Proven track record of publishing high-impact quantum computing research
  • Experience with quantum hardware platforms (superconducting, trapped ion, photonic)
  • Demonstrated ability to lead multi-disciplinary research projects

Required Skills

Quantum Computing Quantum Algorithms Quantum Physics Qiskit Cirq Error Correction Superconducting Qubits Machine Learning Cryptography

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