Job Description
Are you ready to shape the bridge between biology and silicon? Nexus Horizon Systems is leading the charge into the next era of human-machine integration. We are seeking a visionary Neural Interface Architect to design the cognitive frameworks for our next-generation Brain-Computer Interfaces (BCI). If you thrive on solving complex problems at the intersection of AI, neuroscience, and user experience, this is your opportunity to define the standard for 2026 and beyond.
As a Neural Interface Architect, you will be responsible for designing the neural pathways and data pipelines that allow seamless communication between the human cortex and our cloud-based AI infrastructure. You will work alongside top-tier neuroscientists and quantum computing engineers to ensure our interfaces are intuitive, low-latency, and ethically sound.
Why Join Us?
- Work on the bleeding edge of technology (Projected 2026 release).
- Competitive equity and performance-based bonuses.
- Remote-first culture with state-of-the-art co-working hubs in SF.
- Health, dental, and vision coverage for you and your dependents.
Responsibilities
- Architect Neural Pathways: Design the high-level architecture for BCI data transmission, focusing on minimizing latency and maximizing bandwidth between neural signals and processing units.
- Cognitive UX Design: Collaborate with cognitive psychologists to translate complex neural data into intuitive, human-readable visualizations and control schemes.
- Algorithm Optimization: Develop and refine machine learning models capable of real-time signal processing and intent recognition from raw neural input.
- Security & Privacy: Implement robust encryption and privacy protocols to ensure biometric data is protected against unauthorized access and quantum decryption threats.
- Prototyping & Testing: Build rapid prototypes for neural feedback loops and conduct rigorous stress testing in simulated environments.
- Roadmap Strategy: Define the technical roadmap for the next three phases of the Neural Link project, aligning with industry standards and future tech trends.
Qualifications
- Education: PhD or Master’s degree in Computational Neuroscience, Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
- Experience: 5+ years of experience in software architecture, specifically within AI, machine learning, or signal processing domains.
- Technical Skills: Proficiency in Python, C++, and TensorFlow or PyTorch. Experience with bio-signal processing libraries (e.g., MNE, EEGLAB) is highly preferred.
- Domain Knowledge: Deep understanding of brain-computer interface principles, signal-to-noise ratio optimization, and neural decoding algorithms.
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to interdisciplinary teams (scientists, engineers, designers).
- Future-Ready Mindset: A passion for emerging technologies and a proven track record of adapting to rapidly evolving technical landscapes.