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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 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 a visionary Research Scientist to develop next-gen quantum algorithms and applications that will redefine industries. You'll collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, pushing the boundaries of computational possibility. This role offers unparalleled opportunities to shape the future of technology while working with cutting-edge quantum hardware and software systems.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and simulation
  • Lead research initiatives in error correction and quantum decoherence mitigation
  • Develop hybrid quantum-classical computing frameworks for practical applications
  • Collaborate with hardware teams to translate theoretical models into functional systems
  • Publish breakthrough research in leading scientific journals and conferences
  • Secure external funding through government grants and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing specialization
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Proven track record of publishing peer-reviewed quantum research
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Expertise in at least one high-level programming language (Python, C++) and low-level quantum assembly
  • Experience with superconducting or trapped-ion quantum systems
  • Demonstrated ability to translate complex quantum concepts into practical solutions

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cryptography Superconducting Systems Quantum Simulation Machine Learning

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