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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
10 Juli 2026
Deadline
10 Jul 2027

Job Description

Join Nexus Quantum Labs at the cutting edge of 2026 technology as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to develop next-gen algorithms that will revolutionize computational paradigms. You'll work in our state-of-the-art Austin facility collaborating with Nobel laureates and industry pioneers. This role offers unparalleled opportunities to shape the future of technology while enjoying competitive benefits, flexible work arrangements, and a culture that celebrates bold innovation.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning models
  • Develop novel quantum neural network architectures for complex problem-solving
  • Lead experimental validation of quantum AI algorithms on proprietary quantum processors
  • Collaborate with cross-disciplinary teams to translate theoretical research into commercial applications
  • Author breakthrough publications in top-tier quantum computing journals
  • Secure and manage research partnerships with leading academic institutions
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • Expertise in quantum algorithms and quantum information theory
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in machine learning frameworks (TensorFlow, PyTorch)
  • Published research in quantum computing or AI (arXiv/IEEE/ACM)
  • Experience with high-performance computing environments
  • Proven ability to translate complex theoretical concepts into practical implementations
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Q# Qiskit Cirq TensorFlow PyTorch High-Performance Computing Quantum Information Theory

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