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Quantum AI Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus 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 by developing next-gen algorithms, mentoring elite researchers, and translating theoretical models into real-world applications that redefine industries.

Why Nexus Labs? Our state-of-the-art quantum research facility in San Francisco offers unparalleled resources, collaborative innovation pods, and direct partnership with global tech leaders. Enjoy competitive equity packages, flexible work arrangements, and the opportunity to patent groundbreaking discoveries.

Responsibilities

  • Lead cross-functional teams in designing and implementing quantum machine learning algorithms
  • Drive R&D initiatives for quantum-resistant encryption and AI optimization
  • Collaborate with hardware teams to co-design quantum processors for AI workloads
  • Publish peer-reviewed research and present findings at top-tier conferences
  • Develop patents and intellectual property strategies for quantum AI innovations
  • Mentor PhD-level researchers and establish best practices for quantum AI development
  • Partner with industry leaders to prototype quantum AI solutions for autonomous systems

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 5+ years experience in quantum algorithm development or AI research
  • Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
  • Published record in quantum computing or AI (Nature/IEEE/QIP preferred)
  • Expertise in tensor networks and quantum error correction
  • Strong background in deep learning architectures (transformers, GANs)
  • Demonstrated ability to secure $1M+ in research funding

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Tensor Networks Quantum Error Correction Deep Learning Research Leadership

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