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Quantum AI Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect next-generation computational paradigms that will redefine industries. This role offers unparalleled opportunity to shape the future of human-machine collaboration in our state-of-the-art quantum research facility.

As a pioneer in hybrid quantum-neural systems, you'll lead groundbreaking research at the intersection of quantum computing, artificial intelligence, and predictive analytics. Our cross-disciplinary team operates at the bleeding edge of computational science, solving humanity's most complex challenges through quantum advantage.

Responsibilities

  • Design and execute quantum AI algorithms leveraging 50+ qubit processors
  • Lead cross-functional teams in developing quantum-secure cryptographic protocols
  • Architect hybrid quantum-classical machine learning frameworks for real-time analytics
  • Collaborate with Nobel laureates on quantum error correction methodologies
  • Secure $5M+ in research grants through NSF and DARPA proposals
  • Publish breakthrough research in Nature Physics and Science Robotics
  • Mentor PhD candidates in quantum machine learning specialization

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI (post-doc preferred)
  • 5+ years hands-on experience with IBM Quantum Experience and Rigetti Forest
  • Published work in top-tier quantum computing journals
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proficiency in Python, C++, and quantum assembly languages
  • Deep understanding of quantum decoherence mitigation techniques
  • Track record of securing federal research funding

Required Skills

Quantum Computing Machine Learning Cryptography Theoretical Physics Qiskit Cirq Python Research Leadership Grant Writing

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