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Quantum AI Researcher

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Researcher, you'll architect breakthrough algorithms at our Austin Innovation Center, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges.

This role offers unparalleled access to our $50M quantum lab and partnership with NASA's Artemis program. You'll shape the next generation of autonomous systems, climate modeling, and medical diagnostics while contributing to patents that will secure our position as the world's most innovative tech ecosystem.

Responsibilities

  • Design and implement quantum algorithms for AI optimization problems
  • Lead cross-functional R&D teams in developing next-gen hybrid quantum-classical systems
  • Develop proprietary error-correction protocols for quantum neural networks
  • Collaborate with NASA on quantum-computing solutions for deep space exploration
  • Author breakthrough research papers for Nature and IEEE journals
  • Architect scalable quantum-AI frameworks for commercial applications
  • Mentor PhD candidates in our quantum-AI fellowship program

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 5+ years experience with quantum programming (Qiskit, Cirq, or Q#)
  • Published research in quantum-AI convergence or top-tier ML conferences
  • Expertise in tensor networks and quantum machine learning architectures
  • Proficiency in Python/C++ with high-performance computing optimization
  • Experience with superconducting qubit platforms (IBM Quantum, Rigetti)
  • Demonstrated ability to translate theoretical concepts into scalable implementations

Required Skills

quantum computing machine learning AI optimization quantum algorithms tensor networks C++ Python superconducting qubits quantum error correction

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