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Lead Quantum AI Architect (2026 Tech)

Chronos AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Future of Intelligence

Chronos AI is pioneering the next generation of cognitive architectures for the year 2026 and beyond. We are looking for a visionary Lead Quantum AI Architect to build the systems that will redefine human-machine interaction. If you are passionate about the intersection of quantum mechanics and artificial intelligence, this is your opportunity to lead a world-class engineering team.

Why Join Us?

  • Work on cutting-edge technology that will define the next decade.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with access to premium co-working spaces in San Francisco.

Key Responsibilities

You will be responsible for the end-to-end development and deployment of our quantum-ready neural networks.

Responsibilities

  • Design and architect scalable quantum algorithms for large-scale machine learning models.
  • Lead a team of 10+ engineers in researching and implementing 2026-ready infrastructure.
  • Optimize existing models for future quantum hardware architectures.
  • Collaborate with cross-functional teams including data scientists, security experts, and product managers.
  • Define technical roadmaps and establish best practices for AI engineering.
  • Conduct rigorous testing and validation of AI models to ensure accuracy and efficiency.
  • Stay ahead of industry trends in quantum computing and generative AI.

Qualifications

  • PhD or Master's degree in Computer Science, Physics, or a related technical field.
  • 5+ years of experience in software engineering, with at least 2 years in AI/ML or Quantum Computing.
  • Deep understanding of Python, C++, and quantum programming languages (Qiskit, Cirq).
  • Proven experience with cloud platforms (AWS, Azure, or GCP).
  • Strong background in neural networks, deep learning, and stochastic processes.
  • Experience leading high-performing engineering teams in a fast-paced environment.
  • Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing Machine Learning Python Neural Networks Cloud Architecture System Design

Ready to Take This Challenge?

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