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Senior Quantum AI Architect (2026 Vision)

Chronos Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to architect the future? Chronos Future Systems is seeking a visionary Senior Quantum AI Architect to spearhead our next-generation technology roadmap. In this pivotal role, you will define the computational strategies for the 2026 era, bridging the gap between artificial intelligence and quantum supremacy. If you are passionate about solving the world's most complex problems using next-level physics and algorithms, we want to meet you.


Why Join Us?
We are a forward-thinking organization dedicated to pushing the boundaries of what is possible. As a Senior Architect, you will work in a collaborative, high-performance environment with access to cutting-edge hardware and mentorship from industry leaders. Your work will directly shape the infrastructure of tomorrow.


Key Responsibilities:

Responsibilities

  • Architect and design scalable quantum algorithms tailored for complex optimization and machine learning tasks.
  • Lead the integration of quantum computing layers into existing classical AI infrastructure.
  • Define the technical roadmap and research strategy for our 2026 product release.
  • Collaborate with cross-functional teams to translate theoretical quantum physics into practical engineering solutions.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Ensure system reliability, security, and efficiency in hybrid quantum-classical environments.
  • Qualifications

  • Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
  • Proven experience (5+ years) in software engineering with a focus on AI/ML or high-performance computing.
  • Expert knowledge of quantum programming frameworks such as Qiskit, Cirq, or Pennylane.
  • Strong proficiency in Python, C++, and CUDA.
  • Deep understanding of linear algebra, probability theory, and statistical mechanics.
  • Experience leading technical teams in R&D environments and delivering complex projects on time.
  • Required Skills

    Quantum Computing AI Machine Learning Python C++ Qiskit R&D System Architecture

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