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Quantum AI Research Scientist

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

Job Description

Join Nexus Futuristics at the forefront of technological evolution. We seek a pioneering Quantum AI Research Scientist to architect breakthrough solutions for 2026 and beyond. You'll lead cutting-edge research in quantum machine learning, develop novel algorithms for computational acceleration, and collaborate with interdisciplinary teams to transform theoretical models into scalable industrial applications. Our Austin-based innovation hub offers unparalleled resources to push the boundaries of what's possible in quantum-AI convergence.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization
  • Lead research in quantum-AI hybrid architectures for 2026-era computing
  • Develop computational frameworks for solving previously intractable problems
  • Collaborate with hardware teams to optimize quantum-AI system integration
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and drive cross-departmental innovation initiatives
  • Secure federal and private research funding for quantum-AI projects

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • 5+ years in quantum algorithm development or advanced AI research
  • Expertise in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Proven track record of publishing in Nature/Science or top-tier conferences
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Experience with high-performance computing clusters and GPU acceleration
  • Demonstrated ability to translate complex theory into practical implementations
  • Strong background in mathematics (linear algebra, probability, information theory)

Required Skills

Quantum Computing Machine Learning Algorithm Design High-Performance Computing Python TensorFlow PyTorch Qiskit Research Methodology

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