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Quantum AI Research Lead

Nexus Dynamics
Austin
Estimated Salary
USD 220.000 – USD 320.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Shape the future at Nexus Dynamics, where quantum computing meets artificial intelligence. We're pioneering 2026's most disruptive technologies and seek a visionary Quantum AI Research Lead to architect next-generation systems. Join our elite team at the intersection of quantum mechanics, machine learning, and computational theory to solve humanity's grandest challenges.

In this pivotal role, you'll lead a multidisciplinary team developing hybrid quantum-classical AI models that redefine computational boundaries. We offer unparalleled resources, collaborative innovation labs, and the opportunity to publish breakthrough research in top-tier journals. If you're driven to transform theoretical possibilities into tangible solutions, this is your moment.

Responsibilities

  • Architect and implement quantum neural networks for complex problem-solving
  • Lead research in quantum machine learning algorithms and error correction
  • Collaborate with quantum hardware engineers to optimize AI-quantum integration
  • Publish groundbreaking research in peer-reviewed journals and conferences
  • Mentor PhD-level researchers and cross-functional technical teams
  • Secure federal and private research grants for quantum AI initiatives
  • Develop patent-pending quantum AI frameworks for commercial applications

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years of experience in quantum algorithm development or AI research
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record publishing in Nature/Science or top-tier AI conferences
  • Deep understanding of quantum error correction and fault tolerance
  • Experience leading technical teams and managing research budgets
  • Familiarity with NISQ-era hardware limitations and hybrid AI approaches

Required Skills

Quantum Computing Machine Learning Neural Networks Python TensorFlow Qiskit Research Leadership Algorithm Design

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