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Quantum AI Research Scientist 2026

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Quantum Labs 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. As a key member of our innovation hub in Austin, you'll shape the future of computational paradigms and solve humanity's most complex challenges.

Our state-of-the-art facility offers unparalleled resources for quantum experimentation, including 512-qubit processors and dedicated AI supercomputing clusters. You'll collaborate with Nobel laureates and industry pioneers in an environment that values audacious thinking and rigorous science.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Lead cross-functional teams in developing hybrid quantum-classical AI systems
  • Conduct cutting-edge research in quantum neural networks and entanglement-based computing
  • Publish findings in top-tier journals and present at international conferences
  • Secure federal and private funding for quantum AI initiatives
  • Mentor junior researchers and establish best practices for quantum software development
  • Partner with industry leaders to commercialize quantum AI breakthroughs

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics with 5+ years research experience
  • Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
  • Publication record in Nature/Science or equivalent journals
  • Proficiency in Python/C++ with quantum simulation libraries
  • Experience with quantum hardware providers (IBM, Rigetti, IonQ)
  • Demonstrated ability to secure research grants exceeding $1M
  • Strong background in tensor networks and quantum error correction

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Qiskit PennyLane Quantum Neural Networks Tensor Networks Research Methodology

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