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Senior Quantum AI Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to build the digital infrastructure of tomorrow?

Aether Dynamics is pioneering the future of 2026 computing, merging quantum mechanics with artificial intelligence to create hyper-intelligent systems. We are seeking a visionary Senior Quantum AI Architect to lead our research division in San Francisco. If you thrive on solving impossible problems and designing systems that don't just exist, but evolve, this is your call to action.

Join a team of elite engineers and data scientists working on the next generation of neural interfaces and post-silicon processing architectures.

Responsibilities

  • Lead Architectural Design: Design and implement scalable, fault-tolerant quantum computing architectures tailored for deep learning workloads.
  • Neural Synthesis: Develop proprietary algorithms that bridge classical neural networks and quantum entanglement models.
  • System Optimization: Optimize quantum circuit compilation and resource allocation to reduce latency in real-time decision-making systems.
  • R&D Leadership: Mentor a team of quantum physicists and software engineers, fostering a culture of innovation and rapid prototyping.
  • Performance Engineering: Conduct rigorous stress testing on next-gen holographic user interfaces and predictive AI models.
  • Strategic Roadmap: Define the technical vision for our 2026 product line, ensuring we stay ahead of global competition in autonomous systems.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Quantum Physics, Mathematics, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 3 years specifically focused on quantum algorithms or advanced machine learning.
  • Technical Skills: Proficiency in Python, C++, Q# or Cirq; deep understanding of quantum gates, superposition, and entanglement.
  • Architecture: Proven track record of designing large-scale distributed systems and high-performance computing clusters.
  • Innovation: Demonstrated ability to think abstractly and apply theoretical concepts to practical, real-world engineering challenges.
  • Communication: Exceptional ability to translate complex quantum concepts for cross-functional teams and stakeholders.

Required Skills

Quantum Computing Machine Learning Python C++ Q# Distributed Systems Neural Networks Deep Learning Cloud Architecture AI Research

Ready to Take This Challenge?

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