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Quantum AI Research Lead

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 250.000 – USD 350.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI convergence systems. Our Austin-based innovation hub is seeking a visionary Quantum AI Research Lead to architect breakthrough solutions for 2026 and beyond. You'll lead a multidisciplinary team pushing the boundaries of computational intelligence, working with cutting-edge quantum processors and advanced neural networks to solve humanity's most complex challenges.

We offer a transformative environment where your expertise will shape industries from healthcare to climate modeling. With competitive compensation, equity packages, and unlimited R&D resources, this is your opportunity to leave an indelible mark on technological history. Apply now to be part of the future, today.

Responsibilities

  • Lead quantum-AI algorithm development for next-gen computational systems
  • Architect hybrid quantum-neural network architectures for 2026 deployment
  • Manage cross-functional teams of quantum physicists and machine learning engineers
  • Drive research initiatives in quantum machine learning and AI optimization
  • Collaborate with industry partners to commercialize quantum-AI solutions
  • Publish breakthrough research in top-tier scientific journals and conferences
  • Secure federal and private funding for advanced quantum-AI projects

Qualifications

  • PhD in Quantum Computing, AI, or related computational field
  • 5+ years leading quantum-AI research initiatives
  • Expertise in quantum algorithms and machine learning frameworks
  • Published research in Nature/Science or equivalent tier journals
  • Proficiency with quantum programming languages (Qiskit, Cirq) and AI frameworks
  • Experience securing $1M+ research grants or commercial partnerships
  • Deep understanding of quantum error correction and scalability challenges
  • Track record of translating theoretical concepts to working prototypes

Required Skills

Quantum Computing Machine Learning Neural Networks Quantum Algorithms AI Research Scientific Leadership Quantum Error Correction Qiskit Cirq TensorFlow PyTorch

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