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Quantum AI Research Lead

Nexus Quantum Dynamics
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological evolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect next-generation systems that redefine computational boundaries. Our Austin-based hub offers state-of-the-art facilities and a collaborative culture where your breakthroughs will shape 2026's technological landscape. If you're driven to transform theoretical possibilities into tangible innovations, this is your moment.

Responsibilities

  • Design and implement hybrid quantum-AI frameworks for exponential computational acceleration
  • Lead cross-functional teams in developing error-corrected quantum neural networks
  • Develop novel algorithms for quantum machine learning optimization
  • Collaborate with hardware teams to co-design quantum-AI integrated systems
  • Drive research in quantum-resistant cryptography and secure AI deployment
  • Publish peer-reviewed papers and present findings at global conferences
  • Mentor researchers and establish ethical guidelines for quantum-AI applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or AI with 5+ years research experience
  • Expertise in quantum programming (Qiskit, Cirq, Q#) and deep learning frameworks
  • Proven track record of publishing in Nature/Science or top-tier conferences
  • Strong background in quantum error correction and fault-tolerant computing
  • Experience with large-scale distributed computing and GPU acceleration
  • Demonstrated ability to lead complex R&D projects with measurable impact
  • Knowledge of quantum hardware architectures (superconducting, photonic, trapped ions)

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Q# Quantum Algorithms Neural Networks Cryptography Distributed Systems GPU Acceleration

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