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Quantum AI Researcher 2026

NeuroSynth Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NeuroSynth Labs at the frontier of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's grandest challenges. As a Quantum AI Researcher, you'll architect next-gen neural networks that leverage quantum phenomena for exponential computational breakthroughs. Work alongside Nobel laureates in our state-of-the-art facility where theoretical physics meets practical AI implementation.

We offer unparalleled resources including quantum annealing hardware, dedicated research clusters, and industry-leading collaboration tools. This role shapes the future of human-machine symbiosis and positions you at the epicenter of the 2026 tech paradigm shift.

Responsibilities

  • Design quantum-enhanced neural networks for 2026-era applications
  • Develop novel algorithms harnessing quantum entanglement for AI optimization
  • Lead cross-disciplinary teams of physicists and ML engineers
  • Author breakthrough research papers for Nature/Science journals
  • Prototype quantum AI solutions for healthcare, climate modeling, and cryptography
  • Secure $2M+ in government/industry research grants
  • Mentor PhD candidates in quantum machine learning

Qualifications

  • PhD in Quantum Computing, AI, or Physics with 5+ years research
  • Published work in top-tier quantum/AI conferences (NeurIPS, QIP)
  • Expertise in Qiskit, Cirq, or quantum circuit design
  • Proficiency in tensor networks and quantum error correction
  • Experience with high-performance computing clusters
  • Track record of translating theory to commercial applications
  • Strong background in deep learning frameworks (PyTorch/TensorFlow)
  • Patents or peer-reviewed publications in quantum AI

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Neural Networks High-Performance Computing Physics Research

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