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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum AI Architect (2026 Vision)

Nebula Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nebula Dynamics, the pioneer in next-generation computing infrastructure. We are not merely building software for today; we are engineering the fundamental systems that will power the 2026 era of intelligence. We are seeking a visionary Senior Quantum AI Architect to lead the charge in developing hybrid quantum-classical machine learning models that will redefine problem-solving across global industries.

If you are passionate about pushing the boundaries of artificial intelligence and possess a deep understanding of quantum mechanics and neural networks, this is your opportunity to shape the future of technology.

Responsibilities

  • Design and implement scalable quantum neural networks tailored for specific industry use cases.
  • Optimize existing AI algorithms to run efficiently on emerging quantum processors (NISQ era and beyond).
  • Lead technical architecture discussions and mentor a team of junior data scientists and quantum researchers.
  • Stay at the forefront of quantum computing breakthroughs and integrate them into our product roadmap.
  • Collaborate closely with hardware engineers to improve system performance and stability.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, Applied Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years focusing on quantum computing or advanced simulation.
  • Strong proficiency in Python, TensorFlow/PyTorch, and quantum SDKs (Qiskit, Cirq, or similar).
  • Deep understanding of linear algebra, probability, and complex algorithms.
  • Experience with cloud infrastructure (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

Required Skills

Quantum Computing Machine Learning Python Neural Networks Quantum Algorithms TensorFlow PyTorch Cloud Computing AWS Kubernetes

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