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Neural Interface Engineer

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to build the bridge between the human mind and the digital cloud? At Aether Dynamics, we are on the cutting edge of neuro-technology, pioneering solutions that redefine the boundaries of human capability. We are seeking a visionary Neural Interface Engineer to join our elite research division in San Francisco.


In this role, you won't just write code; you will engineer the very fabric of human-computer interaction for the year 2026 and beyond. You will work alongside world-class neuroscientists and AI researchers to develop low-latency, high-bandwidth Brain-Computer Interfaces (BCI) that promise to unlock the full potential of the human brain.


Why join us?

  • Work on projects that have the potential to change humanity.
  • Competitive compensation package including equity.
  • Top-tier benefits and a flexible, remote-first culture.

Responsibilities

  • Design and architect proprietary neural protocols for high-bandwidth data transmission between biological systems and cloud infrastructure.
  • Implement signal processing algorithms to filter noise and enhance signal-to-noise ratios in real-time neural data streams.
  • Collaborate with neuroscientists to interpret complex neural patterns and translate them into actionable user commands.
  • Optimize software stacks for ultra-low latency requirements, ensuring seamless integration with consumer hardware.
  • Conduct rigorous testing and validation of interface stability under various physiological conditions.

Qualifications

  • PhD or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related field.
  • 5+ years of experience in software engineering, with a focus on signal processing, machine learning, or embedded systems.
  • Proficiency in Python, C++, and CUDA.
  • Deep understanding of neural network architectures, particularly those used in deep learning and pattern recognition.
  • Strong problem-solving skills and the ability to work in a fast-paced, interdisciplinary research environment.

Required Skills

Python C++ CUDA Neural Networks Signal Processing Brain-Computer Interface Machine Learning Deep Learning Embedded Systems Python C++ CUDA Neural Networks Signal Processing Brain-Computer Interface Machine Learning

Ready to Take This Challenge?

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