Job Description
We are on the cutting edge of human-computer interaction, building the infrastructure for the year 2026 and beyond. CyberCore Systems is seeking a visionary Neural Interface Engineer to spearhead the development of next-generation brain-computer interfaces (BCI). If you are passionate about merging biology with advanced silicon, we want to hear from you.
In this role, you will be responsible for designing and optimizing the algorithms that allow seamless communication between the human brain and cloud-based AI systems. Join a team of world-class neuroscientists and engineers dedicated to unlocking human potential.
Responsibilities
- Design and implement real-time signal processing algorithms for neural data acquisition and decoding.
- Develop and deploy machine learning models to translate neural spikes into actionable digital commands.
- Collaborate with neurologists and hardware engineers to optimize electrode array performance and signal fidelity.
- Ensure data privacy and security standards are met for sensitive neural datasets.
- Research and prototype future-proof neural interface protocols for the 2026 market landscape.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Ph.D. or Master’s degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field.
- 3+ years of experience in signal processing, machine learning, or BCI technology.
- Proficiency in Python, C++, and MATLAB for data analysis and algorithm development.
- Experience with deep learning frameworks (TensorFlow, PyTorch) applied to time-series data.
- Strong understanding of statistics, probability, and optimization techniques.
- Ability to obtain a security clearance or pass strict background checks due to the sensitive nature of the work.