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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum AI Architect

Chronos Systems
San Francisco
Estimated Salary
USD 220.000 – USD 350.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the cusp of a technological revolution, and Chronos Systems is leading the charge. As we look toward the year 2026 and beyond, we are seeking a visionary Senior Quantum AI Architect to design and deploy the next generation of computational intelligence.

In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical artificial intelligence. You will lead a world-class team of engineers in building scalable, hybrid quantum-classical systems that will solve complex problems currently deemed unsolvable by classical computing.

Why join us?

  • Work on cutting-edge technology that will define the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with access to state-of-the-art labs in San Francisco.

Responsibilities

  • Design and architect scalable quantum algorithms and AI models, specifically tailored for hybrid quantum-classical environments.
  • Lead the research and development of proprietary quantum computing frameworks, ensuring they are robust, secure, and future-proof.
  • Collaborate with cross-functional teams of data scientists, quantum physicists, and software engineers to integrate quantum solutions into existing enterprise infrastructures.
  • Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
  • Define technical roadmaps and best practices for quantum AI implementation.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • 7+ years of professional experience in software architecture, with at least 3 years specifically focused on Machine Learning or AI.
  • Deep understanding of quantum computing platforms (e.g., Qiskit, Cirq, Amazon Braket) and quantum algorithms (QAOA, VQE, Grover's).
  • Expert proficiency in Python, C++, and CUDA programming.
  • Experience with cloud computing environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Strong track record of leading high-impact technical projects from conception to deployment.

Required Skills

Quantum Computing AI Machine Learning Python C++ Cloud Architecture Docker Kubernetes Qiskit TensorFlow Neural Networks

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