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Senior Neural Interface Engineer | San Francisco, CA

OmniFuture Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the interface of tomorrow? OmniFuture Systems is seeking a visionary Senior Neural Interface Engineer to spearhead the development of next-generation brain-computer connectivity protocols. As we approach the pivotal year of 2026, we are building the foundational layers for seamless human-AI symbiosis.

In this role, you will work at the bleeding edge of neuroscience and software engineering. You will design low-latency neural pathways, optimize data transmission for immersive digital experiences, and ensure ethical standards in cognitive augmentation technology.

Why join us?

  • Work with a world-class team of neuroscientists and AI researchers.
  • Shape the future of human-computer interaction (HCI) before it becomes mainstream.
  • Competitive equity package and top-tier benefits.

Responsibilities

  • Architect and deploy high-bandwidth neural interface drivers for consumer wearables.
  • Collaborate with neurologists to map cognitive feedback loops into actionable software logic.
  • Maintain rigorous data security protocols to protect sensitive neural data.
  • Optimize real-time signal processing algorithms to minimize latency.
  • Lead code reviews and mentor junior engineers in embedded systems.
  • Research emerging neuro-technology standards for upcoming 2026 compliance.

Qualifications

  • B.S. in Computer Science, Neuroscience, or Electrical Engineering (Master's preferred).
  • 5+ years of experience in embedded systems, C++, or Python.
  • Experience with signal processing libraries (FFTW, NumPy).
  • Strong understanding of machine learning models applied to biological data.
  • Passion for the ethical implications of AI and neural augmentation.
  • Ability to work in a fast-paced, high-stakes R&D environment.

Required Skills

C++ Python Neural Networks Signal Processing Embedded Systems HCI Neurotechnology

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