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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Systems Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the foundational infrastructure for the year 2026 and beyond. At Aether Dynamics, we are not just predicting the future; we are architecting it. We are seeking a visionary Lead AI & Quantum Systems Architect to lead our advanced research division.

In this pivotal role, you will bridge the gap between artificial intelligence and next-generation quantum computing, ensuring our systems are resilient, scalable, and revolutionary. If you are passionate about solving the world's hardest technical problems and defining the technological landscape of the coming decade, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first policy with a premium tech office in San Francisco.
  • Access to cutting-edge hardware and research grants.
  • Unlimited PTO and professional development budget.

Responsibilities

  • Architect and deploy scalable, quantum-resistant AI models for enterprise applications.
  • Lead a cross-functional team of data scientists, engineers, and researchers to define the technical roadmap.
  • Collaborate with C-suite executives to translate futuristic concepts into executable engineering strategies.
  • Optimize system performance for high-throughput, low-latency environments.
  • Ensure data security and compliance with emerging global standards for 2026.
  • Mentor junior engineers and foster a culture of innovation and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • PhD or Master’s degree in Computer Science, Physics, or a related technical field.
  • Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq).
  • Proven track record of leading large-scale system design projects.
  • Strong understanding of cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders.

Required Skills

Python TensorFlow Quantum Computing System Architecture AWS Kubernetes Machine Learning Deep Learning Leadership

Ready to Take This Challenge?

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