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Head of Quantum-Neural Integration

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Nexus Horizon Labs is pioneering the frontier of 2026 technology. We are seeking a visionary Head of Quantum-Neural Integration to architect the bridge between biological intelligence and quantum computing power.

In this high-impact role, you will lead the research and development of next-generation neural pathways that leverage quantum entanglement for real-time data processing. You will define the technical standards for our emerging ecosystem, ensuring our systems are at the cutting edge of the 'Post-AI' era. Join us in shaping the cognitive infrastructure of tomorrow.

Responsibilities

  • Design and deploy scalable quantum-neural architectures for high-performance computing clusters.
  • Lead R&D initiatives focused on error correction in high-dimensional tensor spaces and quantum states.
  • Collaborate with hardware engineers to integrate quantum sensors with deep learning models.
  • Define the technical roadmap for our 2026 product line, ensuring compatibility with emerging quantum hardware standards.
  • Mentote and grow a world-class team of quantum physicists, data scientists, and machine learning engineers.
  • Establish protocols for ethical AI safety and quantum transparency.

Qualifications

  • PhD or Masters in Quantum Physics, Computer Science, or a related field with 8+ years of relevant experience.
  • Deep expertise in quantum algorithms (QAOA, VQE) and their application to neural networks.
  • Proficiency in Python, C++, and Rust with a focus on high-performance, distributed systems.
  • Proven track record of leading technical teams through complex, undefined problem spaces.
  • Strong understanding of the ethical implications of emerging technologies and AI safety protocols.
  • Experience with cloud-based quantum simulators (e.g., AWS Braket, Google Cirq).

Required Skills

Quantum Computing Neural Networks Machine Learning Python C++ High-Performance Computing System Architecture Research and Development Leadership

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