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Quantum Computing Research Scientist

Nexus Labs
Austin, TX
Estimated Salary
USD 150.000 – USD 220.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum revolution as we prepare for the 2026 quantum computing breakthrough era. We're seeking a pioneering Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. Your work will directly contribute to solving previously unsolvable problems in cryptography, drug discovery, and climate modeling.

As part of our elite Future Technologies Division, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin facility. We offer unparalleled resources including quantum annealing hardware, advanced simulation environments, and dedicated research time. This role represents a rare opportunity to shape the technological landscape of the mid-2020s.

Responsibilities

  • Design and implement novel quantum algorithms for NISQ-era devices
  • Develop quantum error correction protocols for fault-tolerant systems
  • Lead cross-functional teams in quantum-classical hybrid computing projects
  • Author breakthrough research papers for top-tier journals and conferences
  • Collaborate with government agencies on post-quantum cryptography standards
  • Mentor junior researchers in quantum programming and theory
  • Secure patents for quantum computing innovations

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum information science
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Strong background in linear algebra and complex analysis

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq NISQ Devices Cryptography Machine Learning

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