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2026 Quantum AI Research Lead

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence for 2026. We're seeking a visionary Research Lead to architect breakthrough systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape humanity's digital future while working with Nobel laureates and industry pioneers in our state-of-the-art quantum lab.

Our team operates at the intersection of theoretical physics and machine intelligence, developing proprietary algorithms that solve previously impossible computational challenges. You'll lead a multidisciplinary team of quantum physicists, AI architects, and systems engineers while collaborating with academic institutions like MIT and Stanford. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.

Responsibilities

  • Architect quantum-AI hybrid systems targeting 2026 computational milestones
  • Lead cross-functional teams in developing fault-tolerant quantum algorithms
  • Establish research partnerships with quantum hardware providers and AI labs
  • Translate theoretical models into scalable production-ready implementations
  • Present breakthrough findings at premier conferences (NeurIPS, QIP)
  • Secure and manage $5M+ annual R&D budget allocation
  • Mentor next-generation quantum-AI specialists through our fellowship program

Qualifications

  • PhD in Quantum Computing, AI Systems, or Computational Physics
  • 5+ years leading quantum/AI research with peer-reviewed publications
  • Expertise in quantum error correction and variational quantum algorithms
  • Proven track record of implementing quantum machine learning pipelines
  • Experience securing federal grants and industry consortium funding
  • Deep understanding of NISQ-era limitations and 2026 scalability roadmaps
  • Proficiency in Qiskit, Cirq, and PyTorch Quantum frameworks
  • Published work in Nature/Science journals or equivalent tier-1 venues

Required Skills

Quantum Computing Machine Learning Fault-Tolerant Systems Algorithm Design Research Leadership Quantum Error Correction Variational Algorithms Qiskit Cirq PyTorch Quantum

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