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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution. We're seeking a pioneering Quantum AI Research Scientist to architect breakthrough systems for 2026 and beyond. This role combines quantum computing and artificial intelligence to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab.

Our team operates at the intersection of theoretical physics and applied machine learning, developing algorithms that will redefine computational boundaries. We offer competitive equity packages, unlimited learning stipends, and the opportunity to shape tomorrow's digital landscape.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era applications
  • Lead R&D initiatives in quantum neural networks and hybrid quantum-classical systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Develop ethical frameworks for advanced AI deployment in critical infrastructure
  • Publish peer-reviewed research in top-tier scientific journals
  • Mentor junior researchers in quantum computing methodologies
  • Secure patents for novel quantum AI architectures

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development or quantum machine learning
  • Expertise in Python, Qiskit, and TensorFlow Quantum
  • Published research in quantum information science or AI
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting quantum processors or photonic systems
  • Strong background in high-performance computing environments
  • Track record of translating theoretical models to practical implementations

Required Skills

Quantum Computing Machine Learning Qiskit TensorFlow Quantum Quantum Neural Networks Superconducting Processors High-Performance Computing Algorithm Design

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