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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that solve previously unsolvable challenges in cryptography, materials science, and climate modeling. Our state-of-the-art lab features 128-qubit processors and exclusive access to the Quantum Cloud Network. Collaborate with Nobel laureates and disrupt industries while enjoying unparalleled professional growth in one of the world's most innovative ecosystems.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning models for enterprise-scale applications
  • Develop error-correction protocols for fault-tolerant quantum computing systems
  • Lead cross-functional teams to translate theoretical quantum algorithms into production-ready solutions
  • Publish breakthrough research in top-tier journals and industry whitepapers
  • Optimize quantum circuit architectures for real-time AI training acceleration
  • Secure patents for novel quantum-AI methodologies and intellectual property
  • Mentor junior researchers and drive quantum literacy initiatives across the organization

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of industry experience
  • Expertise in quantum algorithm development using Qiskit, Cirq, or equivalent frameworks
  • Proven track record of publishing in Nature or Science journals
  • Proficiency in Python, TensorFlow, and low-level quantum assembly languages
  • Familiarity with quantum error correction codes (surface codes, LDPC codes)
  • Experience with high-performance computing clusters and GPU-accelerated systems
  • Demonstrated ability to secure $1M+ in research funding or venture capital
  • Strong background in machine learning optimization techniques

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Error Correction High-Performance Computing Research Algorithm Development

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