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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Researcher

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

Job Description

Join Nexus Labs at the frontier of 2026 technology! We're seeking visionary Quantum AI Researchers to develop next-generation computational systems that will redefine industries. Our Austin-based team operates at the intersection of quantum computing, artificial intelligence, and biotechnology, creating solutions that solve humanity's grandest challenges. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility equipped with cutting-edge quantum processors and AI neural networks. We offer competitive equity packages, flexible work arrangements, and the opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computing architectures for complex problem-solving
  • Lead cross-functional research initiatives in quantum cryptography and AI ethics
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Collaborate with product teams to commercialize quantum AI innovations
  • Mentor junior researchers and contribute to our open-source quantum frameworks

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit)
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum simulation tools
  • Published research in quantum machine learning or quantum algorithms
  • Strong background in complex mathematical modeling and statistical analysis
  • Experience with high-performance computing and distributed systems
  • Passion for ethical technology development and responsible AI principles

Required Skills

Quantum Computing Machine Learning Python Q# Qiskit PyTorch TensorFlow High-Performance Computing Cryptography AI Ethics

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