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2026 Quantum AI Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the technological frontier at Nexus Innovations as we pioneer the 2026 quantum-AI convergence revolution. We're seeking a visionary Quantum AI Research Lead to architect next-generation algorithms that will redefine computational boundaries. Join our elite team at the intersection of quantum mechanics and artificial intelligence, where you'll develop breakthrough solutions for cryptography, optimization, and machine learning challenges. This is your opportunity to contribute to projects that will define the decade's most transformative technologies.

At Nexus, we empower our researchers with unparalleled resources, including our state-of-the-art quantum lab and collaborative ecosystem of Nobel laureates and industry pioneers. You'll work in an environment where innovation thrives, with flexible schedules, comprehensive benefits, and the autonomy to explore uncharted territories of scientific discovery.

Responsibilities

  • Lead cross-functional teams in developing quantum-enhanced AI algorithms for 2026-era applications
  • Architect quantum machine learning frameworks that outperform classical systems by 10x
  • Design and implement quantum error correction protocols for scalable AI models
  • Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure $5M+ in research grants from government and private sector partners
  • Mentor PhD researchers and build the next generation of quantum-AI talent

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
  • Proven track record in publishing quantum-AI research in Nature/Science journals
  • Expertise in quantum programming languages (Qiskit, Cirq) and AI frameworks (PyTorch, TensorFlow)
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in quantum information theory and quantum machine learning
  • Exceptional problem-solving skills with complex mathematical modeling
  • Demonstrated ability to secure major research funding and lead international teams

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Research Leadership Scientific Publishing Quantum Error Correction Qiskit Cirq PyTorch

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