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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
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 solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms, optimize quantum hardware performance, and solve previously unsolvable computational challenges. This role offers unparalleled access to our state-of-the-art quantum facilities and collaboration with Nobel laureates. Shape the future of computing while enjoying competitive benefits, flexible work arrangements, and a culture that celebrates innovation.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography and optimization problems
  • Collaborate with hardware teams to develop quantum error correction protocols
  • Lead cross-functional research initiatives in quantum machine learning applications
  • Publish breakthrough findings in top-tier scientific journals and conferences
  • Secure patents for proprietary quantum computing methodologies
  • Mentor junior researchers and drive technical excellence across teams
  • Develop quantum software frameworks compatible with major quantum processors

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithms and quantum error correction techniques
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum information science
  • Demonstrated ability to translate theoretical concepts into practical applications
  • Experience with high-performance computing environments and parallel processing
  • Deep understanding of quantum mechanics principles and quantum information theory

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq quantum cryptography machine learning high-performance computing PhD in Physics

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