Job Description
Are you ready to define the future of human interaction? Nexus Horizons is seeking a visionary Lead Neural Interface Engineer to pioneer breakthroughs in brain-computer interface (BCI) technology. In this pivotal role, you will architect next-generation neural pathways, ensuring seamless integration between biological cognition and digital infrastructure. We are not just building software; we are rewriting the operating system of the human experience.
As a leader in our R&D division, you will drive the technical vision for our cutting-edge neural processing units, working alongside world-class neuroscientists and hardware engineers. If you are passionate about the intersection of AI and human biology, and possess the technical prowess to solve complex, unsolved problems, we want to hear from you.
Responsibilities
- Architect and deploy scalable neural network models designed for low-latency, high-bandwidth data transmission.
- Collaborate with neuroscientists and hardware engineers to optimize signal processing algorithms for biological signals.
- Lead the development of real-time feedback loops for adaptive learning systems and predictive modeling.
- Conduct rigorous stress-testing of neural interfaces in simulated and real-world environments to ensure safety and efficacy.
- Mentor junior engineers and define technical roadmaps for the R&D division.
- Stay ahead of the curve in emerging technologies such as neuromorphic computing and synthetic biology integration.
Qualifications
- Master’s or Ph.D. in Computer Science, Neuroscience, Computational Biology, or a related field.
- Minimum of 5 years of experience in machine learning, deep learning, or neural architecture search.
- Proficiency in Python, C++, and modern frameworks like TensorFlow or PyTorch.
- Experience with neurophysiological data analysis, EEG/fMRI processing, or signal processing.
- Strong understanding of low-level system architecture and hardware-software integration.
- Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.