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Quantum AI Research Scientist - 2026 Vision

FutureTech Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the next generation of intelligent systems that will redefine industries by 2026. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin lab, where your innovations could transform healthcare, climate modeling, and autonomous systems. Enjoy unparalleled resources, flexible work arrangements, and equity in a company valued at $2B+.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead cross-functional research teams in prototyping next-gen AI systems
  • Develop novel approaches to quantum neural networks and hybrid quantum-classical models
  • Publish groundbreaking research in top-tier journals and conferences
  • Partner with product teams to translate research into scalable commercial solutions
  • Secure $5M+ in government/private research grants for 2026 initiatives
  • Mentor PhD candidates and postdocs in quantum AI methodologies

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development (Qiskit, Cirq, or PennyLane)
  • Expertise in deep learning frameworks (TensorFlow/PyTorch) and high-performance computing
  • Published research in Nature/Science or top-tier ML/quantum conferences
  • Strong background in linear algebra, quantum information theory, and computational complexity
  • Experience securing federal grants (NSF, DARPA, DOE) preferred
  • Portfolio demonstrating 2+ quantum AI implementations with measurable impact

Required Skills

Quantum Computing Machine Learning Python TensorFlow PyTorch Qiskit Cirq High-Performance Computing Quantum Neural Networks Research Methodology

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