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Lead Neural Interface Architect

NovaCore Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to redefine the boundaries of human capability? NovaCore Systems is seeking a visionary Lead Neural Interface Architect to spearhead our breakthrough BCI (Brain-Computer Interface) division. In this pivotal role, you will design next-generation neuro-link protocols that seamlessly merge biological cognition with digital processing. You will work alongside world-class neuroscientists and AI researchers to build interfaces that are not just functional, but intuitive.

Why Join Us?

We are building the operating system for the post-biological era. As a leader in our field, you will have the autonomy to innovate, the resources to build, and the impact to change the way humanity interacts with technology.

Responsibilities

  • Architect and implement low-latency neural feedback loops for consumer-grade BCI hardware.
  • Oversee the technical roadmap and research direction for next-generation neuro-implant technologies.
  • Collaborate with regulatory bodies and ethics boards to ensure safety and compliance in neural data handling.
  • Lead a cross-functional team of hardware engineers, software developers, and neuroscientists.
  • Optimize signal processing algorithms to improve signal-to-noise ratios in high-noise environments.
  • Drive the patent portfolio for novel neural encoding and decoding techniques.

Qualifications

  • PhD in Neuroscience, Biomedical Engineering, Computer Science, or a related technical field.
  • 5+ years of experience in Brain-Computer Interface development or neural signal processing.
  • Deep expertise in machine learning algorithms applied to neurophysiological data.
  • Experience with high-bandwidth data transmission protocols (e.g., Fiber Optics, Ultra-wideband).
  • Strong background in embedded systems and low-level programming (C++, Rust).
  • Proven track record of leading technical teams in high-stakes R&D environments.

Required Skills

Brain-Computer Interfaces (BCI) Neural Networks Signal Processing Python C++ Bioengineering Embedded Systems Machine Learning Latency Optimization Ethics in AI

Ready to Take This Challenge?

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