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Quantum AI Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 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 pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of autonomous systems, cryptography, and computational biology while working in our state-of-the-art facility in San Francisco's innovation corridor. This role offers unparalleled opportunities to influence emerging paradigms in machine learning and quantum algorithms.

What You'll Experience:

  • Cutting-edge research with $50M+ annual R&D budget
  • Collaborative environment with Nobel laureates and Turing Award winners
  • Equity package and exclusive access to industry conferences

Responsibilities

  • Lead quantum machine learning research initiatives for 2026-scale applications
  • Develop novel quantum algorithms for optimization and pattern recognition
  • Partner with hardware teams to design quantum-AI hybrid architectures
  • Publish breakthrough research in Nature/Science journals
  • Mentor cross-disciplinary teams of physicists and AI specialists
  • Secure $2M+ in government/industry grants for frontier projects
  • Shape ethical frameworks for quantum AI deployment

Qualifications

  • PhD in Quantum Computing, Theoretical Computer Science, or Physics
  • 5+ years in quantum algorithm development or AI research
  • Published work in top-tier quantum/AI conferences (QIP, NeurIPS)
  • Expertise in Qiskit, Cirq, or equivalent quantum frameworks
  • Strong background in linear algebra and computational complexity
  • Experience with high-performance computing environments
  • Demonstrated ability to lead technical teams to publication
  • Passion for solving humanity's grand challenges through technology

Required Skills

Quantum Computing Machine Learning Algorithm Design High-Performance Computing Theoretical Physics Python C++ Research Leadership

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