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Lead AI & Quantum Architect (2026 Vision)

Horizon Core Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to define the technology stack of 2026? Horizon Core Systems is at the forefront of the next industrial revolution. We are building the autonomous systems and neural interfaces that will define the human-machine symbiosis of the coming decade. If you have a passion for pushing the boundaries of Artificial General Intelligence (AGI) and Quantum Computing, we want you on our team.

In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment. We are not just looking for a coder; we are looking for a visionary architect who understands the emergent properties of next-gen AI models.

Why Join Us?

  • Work on the cutting edge of technology that will shape the future.
  • Competitive equity and benefits package.
  • Remote-first culture with state-of-the-art hardware access.

Responsibilities

  • Architect and deploy scalable neural networks capable of autonomous reasoning and complex decision-making.
  • Lead the migration and optimization of models to next-generation hardware acceleration (TPU/GPU clusters).
  • Conduct in-depth research into emergent AI behaviors, safety protocols, and alignment theories.
  • Collaborate with cross-functional teams to integrate 2026-era AI capabilities into core product ecosystems.
  • Mentor junior engineers and foster a culture of continuous innovation and technical excellence.
  • Stay ahead of industry trends, specifically regarding the convergence of AI and quantum mechanics.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field.
  • 5+ years of professional experience in Deep Learning, Reinforcement Learning, or Quantum Computing.
  • Proficiency in Python, C++, and CUDA programming.
  • Proven track record of publishing research or deploying large-scale machine learning models.
  • Experience with Large Language Models (LLMs), Transformers, and RAG architectures.
  • Strong leadership skills with the ability to guide technical strategy and architecture.

Required Skills

Python C++ CUDA Deep Learning Quantum Computing Machine Learning AI Architecture Neural Networks PyTorch TensorFlow Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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