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Quantum AI Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the frontier of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine computing paradigms. In this role, you'll collaborate with Nobel laureates and Turing Award winners in our state-of-the-art Austin research facility, developing hybrid quantum-neural systems that solve previously unsolvable problems across healthcare, climate modeling, and materials science.

Our team operates at the intersection of quantum physics and artificial intelligence, leveraging proprietary quantum annealing processors and neuromorphic computing architectures. You'll access unparalleled resources including 128-qubit quantum processors and exascale computing clusters while contributing to projects with real-world impact on global challenges.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex system optimization
  • Lead cross-functional research teams in developing hybrid quantum-classical computing frameworks
  • Architect fault-tolerant quantum neural networks with error correction protocols
  • Develop proprietary quantum simulation tools for drug discovery and materials engineering
  • Secure federal and industry research grants totaling $5M+ annually
  • Author peer-reviewed publications in Nature Physics/Science and present at IEEE Quantum Week
  • Mentor postdoctoral researchers in quantum algorithm development

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics with 3+ years industry research
  • Expertise in quantum circuit design, Qiskit/Cirq frameworks, and quantum error correction
  • Published record in quantum machine learning or quantum annealing optimization
  • Proficiency in Python, C++, and high-performance computing environments
  • Experience securing DOE/NIST quantum research grants or equivalent industry funding
  • Deep understanding of tensor networks and quantum variational algorithms
  • Track record of translating theoretical models into practical quantum implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Qiskit Cirq Python C++ Fault-Tolerant Systems Quantum Error Correction Neuromorphic Computing

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