Job Description
Are you ready to define the era of 2026? Horizon Synergy Labs is looking for a visionary AI & Neural Interface Engineer to lead the charge in next-generation human-computer symbiosis. We are building the bridge between biological cognition and digital processing, and we need a technical mastermind to architect the underlying neural frameworks.
In this role, you won't just write code; you will shape the cognitive fabric of the future. You will collaborate with a cross-functional team of neuroscientists, ethicists, and hardware engineers to deploy cutting-edge machine learning models directly to neural interfaces.
Responsibilities
- Design and implement scalable neural network architectures optimized for low-latency data transmission in brain-computer interfaces (BCIs).
- Conduct research on advanced signal processing techniques to improve the fidelity of neural decoding algorithms.
- Collaborate with hardware teams to integrate AI models onto edge devices and wearable neuro-implants.
- Establish and enforce rigorous ethical guidelines for AI decision-making in biological systems.
- Lead proof-of-concept experiments and prototype development for next-generation cognitive enhancement tools.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, or a related technical field.
- Minimum of 5 years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
- Strong understanding of neural signal processing and neuro-physiology concepts.
- Demonstrated experience in deploying AI models to edge devices or embedded systems.