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2026 Neural Interface Engineer

NeuroLink Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the cusp of a technological revolution. NeuroLink Systems is leading the charge into the 2026 era of human-computer interaction. We are looking for a visionary Neural Interface Engineer to design the next generation of non-invasive brain-computer interfaces (BCI). If you are passionate about merging neuroscience with cutting-edge software architecture, we want to hear from you.

Why join us?
We offer competitive equity, a fully remote-first culture, and the opportunity to build the future of human augmentation.

Responsibilities

  • Architect and develop low-latency neural signal processing pipelines using Python and C++.
  • Design secure and scalable middleware for real-time data transmission between neural implants and cloud infrastructure.
  • Collaborate with neuroscientists to translate biological signals into actionable software algorithms.
  • Optimize firmware for low-power consumption in wearable neural devices.
  • Maintain rigorous data privacy and security standards in accordance with HIPAA and emerging AI regulations.
  • Prototype novel user interfaces for brain-controlled applications.

Qualifications

  • Master’s degree or PhD in Computer Science, Neuroscience, Electrical Engineering, or a related field.
  • 3+ years of experience in signal processing, machine learning, or embedded systems development.
  • Proficiency in Python, C++, and CUDA for high-performance computing.
  • Experience with data visualization libraries (D3.js, Matplotlib) for real-time telemetry.
  • Strong understanding of neuro-anatomy and BCI hardware integration.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Neural Interface Python C++ Signal Processing Machine Learning CUDA Embedded Systems Brain-Computer Interface Data Visualization

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