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Senior Quantum AI Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

Are you ready to shape the technological landscape of the future? At Aether Dynamics, we are at the forefront of the quantum revolution, building the algorithms that will power the next generation of computing. We are seeking a visionary Senior Quantum AI Architect to join our elite engineering team and define the core infrastructure for our 2026 roadmap.

In this pivotal role, you will bridge the gap between classical machine learning and quantum computing, designing robust, scalable systems that leverage quantum supremacy. You will work directly with leading researchers and hardware engineers to optimize quantum circuits for real-world commercial applications.

Join us in redefining the boundaries of possibility and be part of a culture that prioritizes innovation, intellectual curiosity, and excellence.

Responsibilities

  • Design, develop, and optimize quantum machine learning algorithms for practical deployment.
  • Collaborate with hardware teams to co-design quantum circuits and error correction protocols.
  • Architect scalable quantum cloud platforms and APIs for third-party integrators.
  • Conduct research into advanced quantum states and novel computing paradigms.
  • Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
  • Evaluate emerging quantum hardware and software stacks to ensure our solutions remain cutting-edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or AI.
  • Extensive experience with quantum programming frameworks (e.g., Qiskit, Cirq, PyQuil, or PennyLane).
  • Strong proficiency in Python, C++, and classical machine learning libraries (TensorFlow, PyTorch).
  • Deep understanding of linear algebra, probability theory, and optimization techniques.
  • Track record of research publication in top-tier conferences (e.g., Quantum, NeurIPS, ICML).
  • Experience with cloud infrastructure (AWS, Azure, or Google Cloud) for quantum workloads.

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Tensorflow Cloud Infrastructure Linear Algebra Research

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