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Quantum AI Systems Architect

NeuroSync Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NeuroSync Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation neural interfaces that merge quantum computing with human cognition. As our Quantum AI Systems Architect, you'll design the foundational architecture for our flagship neuro-quantum platform, transforming how humanity interfaces with artificial intelligence. This role offers unparalleled opportunities to shape the future of human-machine symbiosis while working with Nobel Prize-winning researchers and cutting-edge quantum hardware.

What you'll achieve: Lead the development of hybrid quantum-AI systems, architect neural-quantum interfaces, and pioneer breakthroughs in cognitive augmentation. Your work will directly impact the next generation of brain-computer interfaces, enabling unprecedented human-AI collaboration.

Responsibilities

  • Design and implement quantum-AI system architectures for neural interface platforms
  • Develop hybrid quantum-classical computing pipelines for real-time cognitive processing
  • Architect secure quantum communication protocols for neural data transmission
  • Lead cross-functional teams of quantum physicists, neuroscientists, and AI engineers
  • Optimize quantum algorithms for pattern recognition in neural data streams
  • Define technical roadmap for quantum-AI integration with emerging neurotech standards
  • Collaborate with hardware teams on quantum chip design and optimization

Qualifications

  • PhD in Quantum Computing, AI Systems, or Computational Neuroscience (or equivalent experience)
  • 5+ years designing quantum-computing systems or large-scale AI architectures
  • Expertise in quantum error correction and fault-tolerant quantum computing
  • Proven experience with neural interface systems or brain-computer interfaces
  • Strong background in quantum machine learning algorithms
  • Published research in quantum-AI integration or neurotechnology
  • Proficiency with quantum programming frameworks (Qiskit, Cirq) and AI frameworks (TensorFlow Quantum)

Required Skills

Quantum Computing AI Architecture Neural Interfaces Quantum Machine Learning Fault-Tolerant Quantum Systems Neurotechnology Qiskit Cirq TensorFlow Quantum

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