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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel laureates in our state-of-the-art Austin facility. You'll contribute to projects that will solve previously impossible problems in cryptography, materials science, and artificial intelligence.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance, healthcare, and logistics
  • Lead research initiatives to overcome quantum decoherence and error correction challenges
  • Collaborate with hardware engineers to optimize quantum circuits for next-generation processors
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and drive innovation in quantum machine learning frameworks
  • Develop quantum-resistant security protocols for 2026-era infrastructure

Qualifications

  • PhD in Physics, Computer Science, or related field with 5+ years of quantum research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and algorithm design
  • Proven track record of publishing in Nature/Science or equivalent journals
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Ability to translate theoretical concepts into practical quantum applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Cryptography Machine Learning Physics Research

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