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Quantum AI Research Scientist

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our Austin-based innovation hub seeks a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine computational capabilities by 2026. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum labs, where theoretical physics meets artificial intelligence.

We offer unparalleled resources, including access to 512-qubit quantum processors and a $50M research budget. Your work will directly impact global healthcare optimization, climate modeling, and cryptographic security systems. Enjoy flexible hybrid work, equity grants, and continuous learning stipends while shaping humanity's technological trajectory.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for complex system optimization
  • Lead cross-functional teams in developing quantum-AI hybrid architectures
  • Conduct cutting-edge research in quantum error correction and decoherence mitigation
  • Collaborate with hardware engineers to translate theoretical models into practical implementations
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive innovation through hackathons and internal R&D initiatives

Qualifications

  • PhD in Quantum Computing, AI, or Computational Physics with 3+ years industry experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and AI frameworks (PyTorch, TensorFlow)
  • Published research in Nature/Science or equivalent peer-reviewed quantum-AI journals
  • Expertise in quantum circuit optimization and NISQ algorithm development
  • Strong background in complex systems theory and high-performance computing
  • Track record of securing $1M+ in research grants or venture funding
  • Experience mentoring interdisciplinary research teams

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Python TensorFlow Quantum Algorithms Research Innovation

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