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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 innovation as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a brilliant Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. You'll collaborate with world-class engineers in our state-of-the-art Austin facility, working on projects that could revolutionize cryptography, AI, and materials science.

Why Nexus Labs? We offer competitive compensation, equity packages, flexible work arrangements, and unparalleled opportunities to shape the future of technology. Our Austin campus features cutting-edge labs, wellness programs, and a culture that rewards bold thinking.

Responsibilities

  • Design and implement quantum algorithms for complex computational problems
  • Develop novel quantum error correction techniques to enhance system stability
  • Collaborate with hardware teams to optimize quantum circuit architectures
  • Lead research initiatives in quantum machine learning applications
  • Publish breakthrough findings in top-tier scientific journals
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Strong background in quantum information theory and linear algebra
  • Publication record in quantum computing or quantum information
  • Experience with superconducting or photonic quantum systems
  • Demonstrated ability to secure competitive research grants

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Error Correction Quantum Machine Learning Superconducting Qubits Photonic Systems Research Methodology Linear Algebra Machine Learning

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