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Quantum AI Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the technological frontier at Nexus Innovations. We're seeking a visionary Quantum AI Research Lead to spearhead breakthrough projects at the intersection of quantum computing and artificial intelligence. Join our elite team in designing systems that will redefine human-machine collaboration by 2026. This role offers unparalleled opportunities to work with Nobel Prize-winning scientists and deploy solutions that impact global industries.

As a pioneer in next-generation technology, you'll lead research initiatives that push beyond classical computing paradigms. We provide access to cutting-edge quantum hardware and collaborative partnerships with leading academic institutions. Your work will directly influence the development of autonomous systems, advanced cryptography, and AI-driven scientific discovery.

Responsibilities

  • Architect and implement hybrid quantum-classical AI systems for real-world applications
  • Lead cross-functional teams of quantum physicists, ML engineers, and domain specialists
  • Develop novel algorithms leveraging quantum advantage for optimization and pattern recognition
  • Translate theoretical quantum computing concepts into scalable production-ready solutions
  • Collaborate with industry partners to identify high-impact quantum AI use cases
  • Publish research in top-tier journals and present at international tech conferences
  • Drive ethical AI frameworks for quantum-powered decision-making systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related computational field
  • 5+ years of experience in quantum algorithm development or advanced AI research
  • Expertise in quantum programming languages (Q#, Qiskit) and quantum hardware interfaces
  • Proven track record of publishing high-impact research in quantum/AI domains
  • Strong background in distributed systems and cloud-native architectures
  • Experience leading technical teams through full research-to-production cycles
  • Deep understanding of quantum error correction and fault-tolerant computing principles

Required Skills

Quantum Computing Machine Learning Qiskit Q# AI Research Distributed Systems Cloud Architecture Scientific Computing

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