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Quantum AI Research Lead

Nexus Quantum Systems
San Francisco
Estimated Salary
USD 220.000 – USD 320.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Systems at the forefront of technological revolution as we pioneer the next generation of Quantum AI solutions. We're seeking a visionary Quantum AI Research Lead to architect breakthrough algorithms that will redefine computing paradigms. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, developing hybrid quantum-classical systems for Fortune 500 clients. This role offers unparalleled growth opportunities in an environment where your ideas become industry standards.

Responsibilities

  • Lead research in quantum machine learning algorithms and neural network optimization
  • Design scalable quantum-classical hybrid computing architectures
  • Develop proprietary quantum error correction protocols for commercial deployment
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor a cross-functional team of quantum physicists and AI specialists
  • Secure $5M+ in annual research grants through NIH/NSF proposals
  • Collaborate with NASA and Intel on quantum space-computing initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
  • 5+ years experience in quantum algorithm development with IBM/Google/Amazon
  • Expertise in Qiskit, Cirq, and quantum circuit optimization
  • Proven track record publishing in Nature/Science journals
  • Deep understanding of tensor networks and quantum information theory
  • Strong Python/C++ proficiency with quantum simulation frameworks
  • Experience securing federal research grants and patents

Required Skills

Quantum Computing Machine Learning C++ Python Quantum Algorithms Research Neural Networks

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