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Senior AI & Quantum Systems Architect

Horizon 2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the Vanguard of Tomorrow. At Horizon 2026 Technologies, we are not just building the future; we are architecting it. We are seeking a visionary Senior AI & Quantum Systems Architect to lead our research division in San Francisco. You will be at the helm of developing the next generation of neural networks, quantum computing interfaces, and autonomous decision-making systems. If you are passionate about solving the unsolvable and defining the technological landscape of 2026, we want to hear from you.

Why Join Us?

  • Impact: Work on projects that will define the trajectory of human-AI collaboration for decades to come.
  • Environment: Collaborate with world-class engineers, physicists, and data scientists in a state-of-the-art downtown facility.
  • Growth: Unlimited learning budget and access to the latest quantum hardware prototypes.

Responsibilities

  • Design and architect scalable, fault-tolerant AI systems capable of handling petabyte-scale data streams.
  • Lead the integration of quantum computing algorithms into classical machine learning pipelines.
  • Oversee the development of proprietary Natural Language Processing (NLP) models for future-ready interfaces.
  • Ensure ethical AI standards and data privacy compliance across all new deployments.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous research into emerging technologies, including neuromorphic computing and edge AI.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven expertise in Python, C++, and quantum computing frameworks (Qiskit, Cirq).
  • Deep understanding of deep learning architectures (Transformers, GANs) and reinforcement learning.
  • Experience with cloud infrastructure (AWS, Google Cloud) and containerization (Docker, Kubernetes).
  • Strong leadership skills with a track record of managing cross-functional technical teams.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Neural Networks C++ Docker Kubernetes AWS System Architecture

Ready to Take This Challenge?

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