Job Description
Are you ready to architect the future of human-computer interaction?
Nexus Horizon Labs is pioneering the 2026 Neural Bridge Initiative, a cutting-edge research project designed to merge biological cognition with synthetic intelligence. We are seeking a visionary Senior Neural Interface Engineer to lead the development of next-generation brain-computer interfaces (BCIs).
In this role, you will not just be writing code; you will be building the bridge between the human mind and the digital cloud. If you are passionate about low-latency data transmission, signal processing, and the ethical implications of advanced AI, we want to meet you.
Why Join Us?
- Shape the 2026 Landscape: Work on the bleeding edge of technology that will define the next decade of human evolution.
- Premium Compensation: Competitive salary plus equity in a unicorn startup.
- World-Class Team: Collaborate with neuroscientists, AI researchers, and quantum computing experts.
Join us in San Francisco and help us turn science fiction into engineering reality.
Responsibilities
- Design & Architecture: Lead the architecture and development of low-latency neural data transmission protocols for consumer-grade wearables.
- Signal Processing: Develop advanced algorithms to filter, interpret, and enhance neural signals in real-time with minimal cognitive load.
- Firmware Engineering: Write high-performance C++ and Rust firmware for embedded systems interfacing with neural sensors.
- System Integration: Collaborate with the AI team to ensure seamless integration of neural data into predictive machine learning models.
- R&D Leadership: Conduct feasibility studies for novel BCI modalities, such as non-invasive cortical mapping.
- Testing & Optimization: Implement rigorous testing suites to ensure stability, security, and biocompatibility of interface hardware.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Electrical Engineering, Neuroscience, or a related field.
- Experience: 5+ years of experience in embedded systems, signal processing, or BCI development.
- Technical Skills: Proficiency in C++, Python, MATLAB, and FPGA design.
- Domain Knowledge: Deep understanding of bio-signals (EEG, ECoG) and noise reduction techniques.
- Soft Skills: Exceptional problem-solving skills and the ability to communicate complex technical concepts to cross-functional teams.
- Passion: A genuine interest in the future of human augmentation and AI ethics.