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Lead Quantum-AI Architect - 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Architect the Future of Intelligence in 2026

Are you ready to build the systems that will define the decade of 2026? Nexus Horizon Labs is seeking a visionary Lead Quantum-AI Architect to bridge the gap between theoretical quantum mechanics and practical, scalable artificial intelligence.

We are on the cusp of a technological revolution. As we approach the critical inflection point of 2026, your work will be instrumental in deploying next-gen computing solutions that solve problems currently deemed impossible. Join a team of elite engineers dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Architect and deploy hybrid quantum-classical algorithms for real-world enterprise applications.
  • Lead a cross-functional team of quantum physicists and machine learning engineers.
  • Optimize neural network architectures for quantum processors to enhance inference speed.
  • Define the technical roadmap for quantum integration in our core product suite.
  • Collaborate with stakeholders to translate complex quantum concepts into tangible business value.
  • Ensure security and fault tolerance in high-dimensional quantum data processing.
  • Establish best practices for quantum software development and deployment pipelines.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, or a related quantitative field.
  • 10+ years of experience in software architecture, with at least 3 years in AI/ML or Quantum Computing.
  • Proficiency in Python, C++, and frameworks such as Qiskit, Cirq, or PyTorch Quantum.
  • Deep understanding of linear algebra, tensor calculus, and statistical mechanics.
  • Proven track record of leading high-performance engineering teams in fast-paced environments.
  • Experience with cloud infrastructure (AWS, Azure) and edge computing paradigms.

Required Skills

Quantum Computing Artificial Intelligence Python Machine Learning System Architecture Cloud Computing C++ Neural Networks Tensor Calculus

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