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Senior AI & Neural Interface Architect

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to engineer the cognitive architecture of tomorrow? Aether Dynamics is pioneering the next generation of human-machine symbiosis, and we are seeking a visionary Senior AI & Neural Interface Architect to lead our R&D division.

In this role, you won't just be writing code; you will be shaping the neural pathways that define the digital consciousness of 2026. We are looking for a pioneer who thrives in ambiguity and possesses the technical prowess to bridge the gap between abstract algorithms and tangible user experiences.

Join a team where your work will directly influence the evolution of autonomous systems and human augmentation. If you are obsessed with scalability, ethical AI, and the boundaries of what is computationally possible, we want to hear from you.

Responsibilities

  • Architect and deploy scalable neural networks capable of processing multi-modal sensory data in real-time.
  • Collaborate with cognitive psychologists to refine user interaction paradigms for next-gen interfaces.
  • Optimize inference engines for low-latency, high-bandwidth quantum computing environments.
  • Conduct rigorous stress testing on predictive algorithms to ensure system stability under extreme loads.
  • Lead the integration of ethical frameworks into core decision-making logic loops.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, or a related quantitative field.
  • Extensive experience in deep learning frameworks (PyTorch, TensorFlow) and high-performance computing.
  • Proven track record of deploying AI solutions that operate in complex, real-world environments.
  • Strong understanding of signal processing and human-computer interaction (HCI) principles.
  • Ability to translate abstract scientific concepts into actionable technical requirements.

Required Skills

Python PyTorch TensorFlow Quantum Computing Neural Networks C++ HCI Signal Processing Machine Learning Ethics in AI High-Performance Computing

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