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Quantum AI Research Lead

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the future at Nexus Quantum Dynamics, where we're pioneering the next wave of technological evolution. As we approach 2026, we seek a visionary Quantum AI Research Lead to spearhead breakthroughs at the intersection of quantum computing and artificial intelligence. Join our elite team in San Francisco's tech epicenter to develop revolutionary algorithms that will redefine computational boundaries.

Our state-of-the-art facility offers unparalleled resources for quantum experimentation and AI development. You'll collaborate with Nobel laureates and industry disruptors to transform theoretical possibilities into tangible solutions. This role offers competitive compensation, comprehensive benefits, and the opportunity to leave an indelible mark on human progress.

Responsibilities

  • Architect and implement cutting-edge quantum machine learning frameworks
  • Lead cross-disciplinary research teams in quantum algorithm development
  • Design fault-tolerant quantum systems for enterprise AI applications
  • Secure federal grants and private partnerships for quantum-AI initiatives
  • Publish breakthrough research in Nature/Science journals
  • Mentor next-generation quantum AI specialists
  • Translate theoretical models into scalable quantum hardware solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Expertise in quantum error correction and topological quantum computing
  • Published work in Nature/Science or equivalent tier journals
  • Proficiency in Qiskit, Cirq, and quantum circuit optimization
  • Demonstrated ability to secure $1M+ in research funding
  • Strong background in AI/ML frameworks (TensorFlow, PyTorch)
  • Experience with cryogenic quantum systems and superconducting qubits

Required Skills

Quantum Computing Machine Learning Cryogenic Systems Topological Qubits Qiskit Cirq TensorFlow Research Leadership

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