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Senior AI & Quantum Architect (Project 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Be the Architect of Tomorrow. Nexus Horizon Labs is on a mission to redefine the technological landscape by the year 2026. We are looking for an exceptional Senior AI & Quantum Architect to spearhead our next-generation research division. This is not just a job; it is an opportunity to build the foundational systems that will power the future of global computing.

In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable artificial intelligence. You will lead a world-class team of engineers and scientists to develop systems that are faster, smarter, and more efficient than anything currently available. If you are driven by the challenge of solving the impossible, we want to hear from you.

Responsibilities

  • Architect and design scalable AI models integrated with quantum processing units (QPUs) for high-performance computing.
  • Lead the technical vision for Project 2026, ensuring alignment with strategic business goals and innovation targets.
  • Optimize deep learning algorithms to run efficiently on next-generation heterogeneous hardware architectures.
  • Mentor and guide a diverse team of data scientists, quantum physicists, and software engineers.
  • Collaborate with cross-functional stakeholders to translate complex research into deployable products.
  • Conduct rigorous research into emerging quantum algorithms and their applications in AI.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • Minimum 8+ years of experience in AI/ML architecture, with at least 2 years of direct experience in quantum computing or hybrid quantum-classical systems.
  • Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, and Qiskit or Cirq.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Kubernetes/Docker).
  • Proven track record of leading high-stakes technical projects from conception to production.
  • Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Quantum Computing Machine Learning C++ TensorFlow PyTorch Cloud Architecture System Design

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