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Lead Quantum AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the technological frontier for the year 2026. At Nexus Horizon Systems, we are building the bridge between classical computing and advanced quantum mechanics to solve problems previously deemed unsolvable. We are looking for a visionary Lead Quantum AI Architect to spearhead our research division, designing the neural architectures that will define the next decade of human evolution.

As a key member of our elite R&D team, you will be responsible for architecting hybrid systems that integrate quantum processors with deep learning models. If you are obsessed with the future and possess the technical prowess to build it, we want to hear from you.

Responsibilities

  • Architect and deploy scalable quantum algorithms designed for the 2026 infrastructure landscape.
  • Collaborate with cross-functional teams to integrate quantum computing solutions into existing AI pipelines.
  • Lead the research and development of error-corrected qubit topologies.
  • Mentor junior engineers and data scientists in quantum mechanics and machine learning theory.
  • Optimize classical-quantum hybrid workflows to maximize processing speed and efficiency.
  • Define the technical roadmap for next-generation computational hardware integration.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
  • 5+ years of experience in AI/ML architecture with a focus on high-performance computing.
  • Proficiency in quantum programming frameworks (e.g., Qiskit, Cirq, or PyQuil).
  • Deep understanding of neural network structures and their quantum analogues.
  • Strong background in Python, C++, and distributed systems.
  • Experience with cloud-based quantum computing platforms (AWS Braket, Azure Quantum).

Required Skills

Quantum Computing Machine Learning Python C++ Distributed Systems Cloud Architecture Algorithm Design Neural Networks

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