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Quantum AI Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Lead to architect next-gen algorithms that will redefine computational boundaries. This role offers unparalleled resources, a world-class lab, and the opportunity to shape humanity's digital future.

As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to develop quantum-resistant AI systems. Our Austin campus features state-of-the-art quantum processors and a $50M annual R&D budget. We offer competitive equity packages, flexible hybrid work, and unlimited professional development opportunities.

Responsibilities

  • Architect quantum neural networks for breakthrough AI applications
  • Lead research teams in developing quantum-resistant machine learning models
  • Design and implement quantum algorithms for complex optimization problems
  • Collaborate with hardware teams to bridge quantum software-hardware interfaces
  • Publish peer-reviewed research in top-tier journals/conferences
  • Secure $1M+ in annual research grants and partnerships
  • Mentor PhD researchers and interns in quantum AI methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years experience in quantum algorithm development
  • Published research in quantum machine learning or quantum cryptography
  • Proficiency in Qiskit, Cirq, or equivalent quantum SDKs
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Demonstrated ability to secure federal research grants
  • Strong background in linear algebra and quantum information theory

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python Qiskit TensorFlow High-Performance Computing Research Leadership

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