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Senior AI & Neural Interface Architect (2026 Vision)

Aether Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 285.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to build the future of human-machine interaction?

Aether Dynamics is seeking a visionary Senior AI & Neural Interface Architect to spearhead our R&D initiatives for the year 2026 and beyond. As we bridge the gap between biological cognition and silicon intelligence, you will define the core technologies that will power the next generation of neural interfaces.

In this pivotal role, you will not just write code; you will architect the neural pathways of tomorrow. If you are passionate about the intersection of deep learning, brain-computer interfaces (BCI), and advanced robotics, we want to hear from you.

Responsibilities

  • Architect Neural Systems: Design and implement cutting-edge deep learning models and neural architectures tailored for real-time brain-computer interface applications.
  • Optimize Performance: Push the boundaries of inference speed and energy efficiency for edge devices and wearable neural tech.
  • Research & Development: Lead experimental projects exploring the frontiers of generative AI and synaptic emulation.
  • Cross-Functional Collaboration: Partner with neuroscientists, hardware engineers, and product managers to translate complex research into deployable products.
  • Technical Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Prototyping: Build and iterate on high-fidelity prototypes that demonstrate feasibility for the 2026 roadmap.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Neuroscience, or a related technical field.
  • Technical Skills: Extensive experience with Python, C++, and TensorFlow/PyTorch. Strong understanding of neural network optimization and hardware acceleration.
  • Experience: 5+ years of experience in AI/ML research or applied engineering roles within high-tech environments.
  • Problem Solving: Proven ability to tackle complex, unstructured problems and derive elegant, scalable solutions.
  • Future-Forward Mindset: Deep interest in the trajectory of AI, robotics, and the singularity concept.
  • Communication: Excellent written and verbal communication skills for technical and non-technical audiences.

Required Skills

Python C++ TensorFlow PyTorch Neural Networks Brain-Computer Interface AI Research Machine Learning Deep Learning Optimization Edge Computing

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