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Quantum AI Research Scientist

FutureTech Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the future at the intersection of quantum computing and artificial intelligence. FutureTech Innovations seeks a visionary Quantum AI Research Scientist to pioneer breakthroughs that will define 2026 and beyond. Join our Austin-based team where cutting-edge research meets real-world application.

We're building the next generation of hybrid quantum-neural systems that will revolutionize drug discovery, materials science, and climate modeling. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop novel quantum algorithms, optimize neural networks for quantum hardware, and publish groundbreaking research in top-tier journals.

Our state-of-the-art Quantum AI Lab offers access to 128-qubit processors, photonic networks, and exascale computing resources. We provide competitive equity packages, flexible work arrangements, and dedicated R&D time for personal projects that could change the world.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Develop hybrid quantum-classical neural network architectures
  • Lead research projects in quantum error correction and fault tolerance
  • Collaborate with hardware teams to co-design quantum processors
  • Publish high-impact research in Nature/Science journals
  • Mentor PhD researchers and patent quantum IP portfolios

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of quantum algorithm development experience
  • Expertise in quantum programming frameworks (Qiskit, Cirq)
  • Publication record in top-tier quantum computing journals
  • Strong background in machine learning and neural networks
  • Experience with quantum hardware simulation tools

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Quantum Algorithms Neural Networks Python Physics

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