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Quantum AI Architect (2026 Horizon)

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

Job Description

We are on the precipice of a technological revolution. Nebula Future Systems is seeking a visionary Quantum AI Architect (2026 Horizon) to lead the integration of quantum supremacy with generative artificial intelligence. If you want to define the standards of computing in the next era, this is your stage.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, high-performance machine learning applications. You will be instrumental in building the infrastructure that powers our flagship 2026 product roadmap, ensuring our solutions are not just advanced, but revolutionary.

Why join us? We offer a competitive equity package, unlimited PTO, and a fully remote-first culture that prioritizes deep work and innovation.

Responsibilities

  • Architect and design scalable quantum-classical hybrid systems capable of processing exascale data.
  • Lead the R&D strategy for the 2026 product roadmap, focusing on quantum entanglement algorithms and neural network optimization.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to translate theoretical models into production-ready code.
  • Mentor and guide a team of elite engineers, fostering a culture of technical excellence and continuous learning.
  • Identify and mitigate technical risks associated with quantum hardware limitations and error correction protocols.
  • Define technical standards and best practices for next-generation AI integration.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, Mathematics, or a related field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML or Quantum Computing.
  • Deep understanding of quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
  • Proficiency in high-level programming languages including Python, C++, and Rust.
  • Proven track record of leading technical teams through complex architectural transitions.
  • Strong ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ System Architecture R&D Leadership Hybrid Systems

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