Job Description
Join Nexus Horizon Technologies, a pioneer in next-generation human-computer symbiosis, as our Lead AI Neural Interface Architect. In this pivotal role, you will bridge the gap between biological intelligence and synthetic computation, designing the neural pathways that define the future of work, creativity, and communication.
We are looking for a visionary technologist who thrives on complexity and possesses an innate understanding of both deep learning architectures and neurobiology. If you want to build the bridge between the mind and the machine, this is your opportunity to lead a revolutionary team.
Responsibilities
- Architect and design high-bandwidth, low-latency neural pathways for next-gen Brain-Computer Interfaces (BCI).
- Collaborate with cross-functional teams of neuroscientists, electrical engineers, and AI researchers to optimize signal processing algorithms.
- Develop scalable software frameworks for real-time neural data interpretation and feedback loops.
- Ensure the ethical implementation of AI, maintaining strict standards for privacy and cognitive liberty.
- Pioneer new methodologies for bio-compatible hardware integration within software environments.
- Lead the technical roadmap for neural rendering and sensory feedback simulation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Neuroscience, Biomedical Engineering, or a related field.
- Minimum of 5 years of experience in Neural Networks, Deep Learning, or Brain-Computer Interface research.
- Proven expertise in C++, Python, and FPGA programming.
- Strong background in signal processing and machine learning optimization.
- Experience with high-performance computing systems and data visualization.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.