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Lead AI & Quantum Architect - 2026 Roadmap

Chronos Future Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence in 2026

Chronos Future Technologies is pioneering the next generation of cognitive computing. As we accelerate toward our 2026 vision, we are seeking a visionary Lead AI & Quantum Architect to design the neural infrastructures that will define the next decade. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and quantum mechanics, this is your opportunity to lead the charge.

We offer a competitive benefits package, including equity, remote flexibility, and access to our proprietary quantum computing clusters.

Responsibilities

  • Architect and deploy scalable AI and quantum computing solutions for enterprise-grade applications.
  • Define the technical roadmap and architectural standards for the 2026 product suite.
  • Collaborate with cross-functional teams of data scientists and quantum physicists to integrate novel algorithms.
  • Optimize neural network models for low-latency performance in edge computing environments.
  • Mentor junior engineers and establish best practices for code quality and system reliability.
  • Conduct research on emerging technologies to maintain a competitive edge in the AI landscape.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related technical field with a focus on AI/Quantum.
  • 5+ years of professional experience in software engineering, specifically within AI, Machine Learning, or Quantum Computing.
  • Expert proficiency in Python, C++, and CUDA.
  • Strong understanding of deep learning frameworks (TensorFlow, PyTorch) and quantum simulation libraries.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Demonstrated ability to lead technical teams and drive project execution from conception to launch.

Required Skills

AI Quantum Computing Machine Learning Python C++ CUDA TensorFlow PyTorch Cloud Architecture Kubernetes Docker Neural Networks Deep Learning System Design Leadership

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