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Quantum AI Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join our pioneering team at Nexus Innovations Inc. as we shape the future of quantum-computing intelligence. We're seeking a visionary Quantum AI Research Scientist to develop breakthrough algorithms that will redefine technological capabilities by 2026. This role offers unparalleled opportunities to work at the intersection of quantum mechanics, artificial intelligence, and next-gen computing systems in our state-of-the-art San Francisco lab.

What you'll achieve: Design scalable quantum neural networks, pioneer error-correction methodologies, and collaborate with Nobel laureates on projects that will power the next generation of autonomous systems and computational breakthroughs. You'll receive equity, comprehensive benefits, and a research budget exceeding $500K annually.

Responsibilities

  • Develop novel quantum algorithms for machine learning applications
  • Lead cross-functional teams in prototyping quantum-AI hybrid systems
  • Author peer-reviewed publications for top-tier scientific journals
  • Optimize quantum circuit architectures for real-world deployment
  • Secure $2M+ in annual research grants from government and industry partners
  • Mentor PhD candidates in quantum computing specialization
  • Drive intellectual property strategy with 15+ annual patent filings

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI with 5+ years research experience
  • Published work in Nature/Science or equivalent high-impact journals
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Expertise in tensor networks and quantum error correction techniques
  • Proven track record of securing federal research grants (NSF, DARPA)
  • Experience with superconducting and photonic quantum processors
  • Strong background in deep learning frameworks (PyTorch, TensorFlow)

Required Skills

Quantum Computing AI Research Machine Learning Theoretical Physics Quantum Algorithms Error Correction Qiskit Cirq Deep Learning Patent Strategy

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