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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Lead AI & Quantum Architect to join our elite team in San Francisco. In 2026, the boundary between biological and synthetic intelligence is dissolving. We are building the operating system for this new reality.

As a key architect, you will design and implement scalable quantum neural networks that redefine problem-solving capabilities across industries. You will bridge the gap between theoretical physics and practical software engineering to create the next generation of artificial general intelligence.

Why Join Us?

  • Work on groundbreaking projects that shape the future of humanity.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Design and deploy next-generation quantum machine learning models and hybrid algorithms.
  • Architect scalable systems that integrate classical AI with quantum computing.
  • Lead technical strategy for our 2026 AGI development roadmaps.
  • Optimize algorithms for quantum processors to maximize efficiency and accuracy.
  • Collaborate with interdisciplinary teams including physicists, data scientists, and engineers.
  • Mentor junior developers and establish coding standards for advanced AI projects.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 5+ years of professional experience in Deep Learning, Machine Learning, or Quantum Computing.
  • Proficiency in Python, TensorFlow, PyTorch, and quantum SDKs (Qiskit, Cirq).
  • Strong understanding of linear algebra, probability theory, and statistical mechanics.
  • Experience with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python TensorFlow Quantum Computing Machine Learning Deep Learning Qiskit Cirq AWS Docker Kubernetes Linear Algebra Neural Networks

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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