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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our Austin-based innovation hub is seeking visionary Quantum AI Research Scientists to develop next-generation algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets machine learning. We offer competitive equity packages, flexible hybrid work arrangements, and a $50M R&D budget for groundbreaking projects. Shape the future of human-machine intelligence and leave your mark on the next technological paradigm shift.

Responsibilities

  • Design and implement quantum neural networks for complex optimization problems
  • Develop hybrid quantum-classical AI frameworks for real-world applications
  • Lead cross-functional teams in prototyping quantum machine learning models
  • Publish peer-reviewed research in top-tier journals and conferences
  • Secure federal and private research grants for quantum AI initiatives
  • Mentor junior researchers in quantum algorithm development
  • Collaborate with hardware teams to optimize quantum processor integration

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in Python, Qiskit, and quantum simulation frameworks
  • Published research in quantum machine learning or quantum information theory
  • Strong background in linear algebra, probability, and computational complexity
  • Experience with high-performance computing environments
  • Demonstrated ability to translate theoretical concepts into practical solutions

Required Skills

Quantum Computing Machine Learning Python Qiskit Quantum Algorithms High-Performance Computing Linear Algebra AI Research

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