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Senior Quantum AI Architect (2026)

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

The Future is Now. Chronos Dynamics is pioneering the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior Quantum AI Architect to lead the development of hybrid systems that merge classical machine learning with quantum computing paradigms.

In this role, you won't just write code; you will define the computational logic of tomorrow. You will be responsible for designing scalable quantum algorithms, optimizing neural network topologies for quantum processors, and ensuring our systems remain resilient in a post-quantum era. Join us in shaping the technological landscape of the next decade.

Why Join Us?

  • Work on cutting-edge technology that is reshaping the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium office amenities in SF.
  • Access to state-of-the-art quantum hardware and cloud environments.

Responsibilities

  • Design, prototype, and implement advanced quantum algorithms for AI inference and training.
  • Bridge the gap between classical software engineering and quantum hardware constraints.
  • Optimize qubit coherence and reduce error rates in complex neural network models.
  • Lead architectural reviews for cross-functional teams including hardware engineers and data scientists.
  • Conduct research on post-quantum cryptography and secure AI protocols.
  • Mentor junior developers and foster a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 5+ years of experience in software engineering, with a focus on AI/ML or distributed systems.
  • Deep understanding of quantum computing concepts, specifically Qiskit, Cirq, or similar frameworks.
  • Strong proficiency in Python, C++, and cloud-native architectures (AWS, Azure, GCP).
  • Experience deploying models to edge devices or high-performance computing clusters.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing AI Machine Learning Python C++ Cloud Architecture Quantum Algorithms System Design

Ready to Take This Challenge?

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