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Senior Quantum AI Architect (Project 2026)

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior Quantum AI Architect to lead Project 2026, our groundbreaking initiative to merge quantum computing with artificial intelligence. This is not just a job; it is an opportunity to define the technological landscape of the future.


About the Role:

Nebula Systems is building the infrastructure for tomorrow. As a Senior Architect, you will bridge the gap between theoretical quantum physics and practical, scalable AI applications. You will be responsible for designing systems that leverage quantum supremacy to solve complex problems in optimization, cryptography, and large-scale data analysis.


Why Join Us?

  • Work on Project 2026, a multi-billion dollar initiative with global impact.
  • Access to state-of-the-art quantum hardware and cloud resources.
  • Competitive compensation package and equity options.
  • Collaborate with the brightest minds in tech and science.

Responsibilities

  • Lead the architectural design and development of scalable quantum neural networks.
  • Develop and implement advanced error correction protocols for quantum processors.
  • Translate complex theoretical research into deployable, high-performance software code.
  • Collaborate with data scientists and physicists to refine AI algorithms for quantum environments.
  • Mentor a team of junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Stay at the forefront of emerging quantum hardware technologies and industry trends.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information.
  • 5+ years of professional software engineering experience, with at least 2 years specifically in quantum computing or advanced AI research.
  • Proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
  • Deep understanding of linear algebra, probability theory, and stochastic processes.
  • Experience with machine learning libraries (TensorFlow, PyTorch) adapted for quantum environments.
  • Strong problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Python C++ Quantum Algorithms Neural Networks Quantum Cryptography

Ready to Take This Challenge?

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

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