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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek an innovative Quantum Computing Research Scientist to develop breakthrough algorithms and solve complex computational challenges that will redefine industries. Our Austin-based team operates in a cutting-edge facility equipped with state-of-the-art quantum processors, offering unparalleled resources for groundbreaking research. This role offers the unique opportunity to shape the future of computational science while collaborating with Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experiments on superconducting quantum processors to validate theoretical models
  • Develop error correction protocols to enhance quantum computational stability
  • Collaborate with hardware teams to co-design quantum architectures
  • Publish high-impact research in leading journals and present at international conferences
  • Secure research funding through government and industry partnerships
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant computing
  • Proven track record of peer-reviewed publications in quantum computing
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with superconducting or trapped-ion quantum systems
  • Demonstrated ability to translate theoretical concepts into experimental implementations

Required Skills

Quantum Computing Algorithm Design Error Correction Qiskit Cirq Superconducting Systems Fault-Tolerance Research Methodology

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