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Senior AI Architect: Neural Interface Systems

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the bridge between biological intelligence and artificial computation?

At Aether Dynamics, we are not just building software; we are engineering the future of human-machine symbiosis. As we approach the technological singularity of 2026, we are seeking a visionary Senior AI Architect to lead the development of our proprietary Neural Interface Protocol (NIP).

You will work in a high-performance environment pushing the boundaries of Deep Learning, Low-Latency Processing, and Brain-Computer Interfaces (BCI). This is an opportunity to define the architectural standards for the next generation of wearable tech.

Responsibilities

  • Design and implement scalable, high-throughput neural network architectures optimized for real-time bio-feedback processing.
  • Collaborate with neuroscientists and hardware engineers to minimize latency in signal transmission.
  • Optimize model inference engines for edge devices and neural implants.
  • Establish best practices for data governance, ethical AI usage, and bias mitigation in cognitive computing.
  • Lead a team of ML engineers in building a proprietary knowledge graph engine.
  • Conduct rigorous stress testing and validation of predictive algorithms in simulated environments.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, Neuroscience, or a related field (or equivalent industry experience).
  • 8+ years of experience in deep learning, machine learning engineering, or cognitive computing.
  • Proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
  • Experience with edge computing, GPU optimization (CUDA), and low-latency communication protocols.
  • Strong understanding of reinforcement learning and predictive analytics.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python PyTorch TensorFlow C++ Neural Networks Deep Learning Edge Computing GPU Optimization Brain-Computer Interfaces Reinforcement Learning Cognitive Science

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