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Quantum AI Research Lead

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution. As a Quantum AI Research Lead, you'll architect groundbreaking solutions that will define 2026 and beyond. Our interdisciplinary team merges quantum computing with advanced neural networks to solve humanity's most complex challenges. This role offers unparalleled resources and autonomy to pioneer next-generation AI systems.

Position yourself at the nexus of quantum physics and machine learning. We provide competitive equity, flexible work arrangements, and exposure to Fortune 500 partners. Your work will directly shape the future of autonomous systems, climate modeling, and personalized medicine.

Responsibilities

  • Design and implement quantum-enhanced neural network architectures
  • Lead cross-functional teams of quantum physicists and AI specialists
  • Develop proprietary algorithms for quantum-classical hybrid computing
  • Publish breakthrough research in top-tier journals and conferences
  • Secure federal and private research grants for 2026-focused initiatives
  • Collaborate with NASA, IBM Research, and MIT on quantum-AI projects
  • Mentor next-generation researchers in quantum machine learning

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 5+ years experience in quantum algorithm development
  • Expertise in Python, TensorFlow, and quantum programming languages
  • Proven track record of peer-reviewed publications
  • Deep understanding of quantum error correction techniques
  • Experience with D-Wave, IBM Q, or equivalent quantum systems
  • Strong background in high-performance computing infrastructure
  • Ability to translate complex quantum concepts for non-technical stakeholders

Required Skills

Quantum Computing Machine Learning Neural Networks TensorFlow Python Quantum Algorithms High-Performance Computing Research Methodology

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