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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll architect next-gen algorithms and systems to solve previously impossible computational challenges. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where innovation isn't just encouraged—it's our DNA. This role offers unparalleled opportunities to shape the future of computing while working with cutting-edge quantum hardware and machine learning frameworks.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum circuits using superconducting and photonic platforms
  • Develop error correction protocols to achieve fault-tolerant quantum computation by 2026
  • Collaborate with hardware teams to co-design quantum processors with 1000+ qubits
  • Publish breakthrough research in top-tier journals and present at premier conferences
  • 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 languages (Q#, Qiskit, Cirq)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing environments and parallel processing
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Q# Qiskit Quantum Algorithms Error Correction Superconducting Qubits Machine Learning High-Performance Computing

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