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Lead AI & Quantum Integration Architect

Horizon Quantum Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligence

Are you ready to lead the technological revolution that defines the year 2026? Horizon Quantum Systems is seeking a visionary Lead AI & Quantum Integration Architect to bridge the gap between classical machine learning and next-generation quantum computing. You won't just be writing code; you will be architecting the brain of a new era.

In this role, you will spearhead the development of hybrid AI models that leverage quantum supremacy. Join a world-class team dedicated to solving humanity's most complex problems through advanced computation.

Responsibilities

  • Architect and deploy scalable hybrid AI/Quantum algorithms for real-world applications.
  • Lead a team of researchers in optimizing neural networks for quantum hardware environments.
  • Collaborate with cross-functional teams to integrate advanced AI solutions into production pipelines.
  • Conduct research into novel machine learning paradigms, including neuromorphic computing.
  • Define technical roadmaps and establish best practices for AI development.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of experience in AI/ML development, including significant exposure to deep learning frameworks (PyTorch, TensorFlow).
  • Experience with quantum computing libraries (Qiskit, Cirq) or a strong aptitude for quantum algorithm design.
  • Proficiency in high-performance programming languages such as Python, C++, or CUDA.
  • Strong problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Quantum Computing C++ Machine Learning Deep Learning AWS Docker Kubernetes Data Science

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