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Senior Quantum AI Architect - 2026 Protocol

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Aether Dynamics is seeking a visionary Senior Quantum AI Architect to lead our 2026 Protocol initiative. We are building the foundational neural frameworks that will redefine human-machine interaction in the post-silicon era. If you possess an insatiable curiosity for cutting-edge technology and want to leave a lasting legacy in the tech world, this is your opportunity.

As a key member of our R&D division, you will bridge the gap between quantum computing theory and practical deep learning applications. You will work in a collaborative, elite environment alongside Ph.D. researchers and industry veterans. We offer a competitive compensation package, significant equity stakes, and the chance to work on technology that will shape the next decade.

Why Join Us?

  • Work on the bleeding edge of technology (Year 2026 and beyond).
  • Top-tier compensation and equity package.
  • Flexible remote-first culture with access to state-of-the-art facilities.
  • Unlimited PTO and professional development budget.

Responsibilities

  • Design and implement next-generation neural network architectures optimized for quantum processors.
  • Lead the research and development of '2026 Protocol' algorithms, focusing on speed and energy efficiency.
  • Collaborate with cross-functional teams to integrate quantum AI solutions into scalable cloud infrastructure.
  • Conduct rigorous testing and validation of AI models to ensure stability and accuracy.
  • Mentor junior engineers and researchers, fostering a culture of innovation and excellence.
  • Stay ahead of industry trends in quantum computing, neuromorphic engineering, and AI ethics.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum.
  • Extensive experience in Deep Learning frameworks (PyTorch, TensorFlow) and Quantum Computing libraries (Qiskit, Cirq).
  • Strong proficiency in Python, C++, and low-level systems programming.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML) or leading high-impact projects.
  • Experience with large-scale distributed systems and cloud computing platforms (AWS, GCP, Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-pressure environment.

Required Skills

Quantum Computing Machine Learning Python C++ Deep Learning PyTorch TensorFlow Research Distributed Systems

Ready to Take This Challenge?

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