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Lead AI Architect: The 2026 Horizon

Nebula Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Shape the Future of Intelligence

Nebula Horizon Systems is on a mission to define the technological landscape of the 2026 era. We are pioneering the intersection of quantum computing and advanced neural networks to build the world's most resilient AI infrastructure. We are looking for a visionary Lead AI Architect to lead our core research division.

Why Join Us?

As we approach the 2026 paradigm shift in computational power, we offer unparalleled opportunities to work on cutting-edge technologies that will define the next century. You will have the autonomy to design systems that are not just scalable, but revolutionary.

Responsibilities

  • Architect and lead the development of next-generation AI models optimized for post-silicon quantum processors.
  • Define the technical roadmap for Nebula Horizon's 2026 infrastructure projects, ensuring scalability and energy efficiency.
  • Collaborate with cross-functional teams of physicists, engineers, and data scientists to bridge the gap between theoretical research and production deployment.
  • Establish best practices for AI safety, ethics, and interpretability in high-stakes environments.
  • Mentor senior engineers and foster a culture of continuous innovation within the R&D department.
  • Present technical vision and architectural decisions to executive stakeholders and global partners.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • 10+ years of experience in Artificial Intelligence, Machine Learning, or Deep Learning architecture.
  • Proven experience in quantum computing research or development (Qiskit, Cirq, or similar frameworks).
  • Expert proficiency in Python, C++, and distributed systems.
  • Strong understanding of large language models (LLMs) and their deployment on non-traditional hardware.
  • Track record of leading high-performing engineering teams through complex technical challenges.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse audiences.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python C++ Neural Networks System Architecture Leadership R&D

Ready to Take This Challenge?

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