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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI & Quantum Architect

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Future-Ready AI & Quantum Architect to lead our next-generation research division. At Nebula Horizon Labs, we are not just predicting the future; we are architecting it. As we approach the pivotal year of 2026, our mission is to integrate cutting-edge Artificial Intelligence with quantum computing paradigms to solve humanity's most complex challenges.

In this high-impact role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI solutions. You will be responsible for designing neural architectures that leverage quantum supremacy, ensuring our systems are resilient, ethical, and ready for the demands of a post-silicon era.

If you are a forward-thinking technologist ready to define the technology stack of tomorrow, we want to hear from you.

Responsibilities

  • Design and implement proprietary quantum-neural network algorithms optimized for 2026 computing standards.
  • Lead the R&D team in exploring novel machine learning paradigms, including neuromorphic computing and quantum annealing.
  • Collaborate with cross-functional teams to integrate advanced AI models into our core product ecosystem.
  • Ensure data integrity and ethical AI compliance across all quantum processing pipelines.
  • Conduct rigorous performance testing and optimization to ensure sub-millisecond latency in high-stakes environments.
  • Patent and publish original research findings in top-tier AI and quantum physics journals.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • 10+ years of professional experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, C++, and Rust, with proven experience in quantum simulation libraries (e.g., Qiskit, Cirq, PennyLane).
  • Strong understanding of linear algebra, probability theory, and optimization algorithms.
  • Experience with cloud infrastructure (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Neural Networks Python C++ Machine Learning Cloud Architecture R&D Algorithm Design Neuromorphic Computing

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