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Quantum AI Research Scientist

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Dynamics Inc. at the forefront of technological evolution as we pioneer the next wave of innovation. We seek a visionary Quantum AI Research Scientist to architect groundbreaking solutions that will redefine industries by 2026. This role offers unparalleled opportunities to work with Nobel-caliber minds and cutting-edge quantum computing infrastructure in our state-of-the-art San Francisco lab.

Our mission is to accelerate human progress through quantum-AI fusion, and you'll lead transformative projects in cryptography optimization, neural network acceleration, and autonomous system intelligence. With comprehensive benefits including equity, unlimited PTO, and wellness stipends, we're committed to your growth and well-being.

Responsibilities

  • Design and implement quantum algorithms for AI model optimization at scale
  • Lead cross-functional teams to develop next-gen quantum neural networks
  • Conduct advanced research in quantum cryptography for secure AI systems
  • Develop proprietary quantum simulation frameworks for industrial applications
  • Collaborate with hardware engineers to optimize quantum-AI hardware interfaces
  • Publish groundbreaking research in top-tier scientific journals and conferences
  • Secure $5M+ in research grants through innovative proposal development

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI with 3+ years research experience
  • Expertise in quantum machine learning algorithms and quantum circuit design
  • Published record in Nature/Science or equivalent-tier journals
  • Proficiency in Python, Qiskit, and TensorFlow Quantum frameworks
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting qubit systems or photonic quantum processors
  • Proven ability to lead complex multi-year research initiatives
  • Strong background in computational complexity theory

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Cryptography Python Qiskit TensorFlow Quantum Theoretical Physics Research Leadership

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