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Quantum AI Research Scientist

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum AI solutions that will redefine 2026 and beyond. As a Quantum AI Research Scientist, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors to develop next-generation algorithms that solve humanity's most complex challenges. This role offers unparalleled opportunities to publish groundbreaking research, secure patents, and shape the future of artificial intelligence.

We offer competitive equity packages, flexible work arrangements, and access to our cutting-edge quantum computing infrastructure. Our culture celebrates intellectual curiosity, ethical innovation, and collaborative breakthroughs. If you're ready to push the boundaries of what's possible, this is your moment.

Responsibilities

  • Design and implement novel quantum machine learning algorithms leveraging qubit entanglement and superposition principles
  • Lead cross-functional teams in developing hybrid quantum-classical neural networks for real-world applications
  • Conduct advanced research in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware engineers to optimize quantum algorithms for next-generation processors
  • Publish peer-reviewed papers and present findings at premier international conferences
  • Secure patents and intellectual property for proprietary quantum AI methodologies
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field with 3+ years of research experience
  • Published research in quantum algorithms or AI with demonstrated impact (arXiv, Nature, IEEE)
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks
  • Deep understanding of quantum information theory, linear algebra, and computational complexity
  • Experience with high-performance computing environments and distributed systems
  • Strong track record of translating theoretical concepts into practical implementations
  • Excellent communication skills with ability to articulate complex concepts to diverse audiences

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Q# Neural Networks Research Patents AI Ethics

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