Job Description
Join Nexus Horizon Labs, the pioneer in next-generation human-machine interaction. We are seeking a visionary 2026 AI & Neural Interface Engineer to architect the future of cognition. In this role, you will bridge the gap between artificial intelligence and biological signals, developing sophisticated brain-computer interfaces (BCI) that redefine human potential.
At Nexus Horizon Labs, we don't just predict the future; we engineer it. You will work in a state-of-the-art facility, collaborating with leading neuroscientists and AI researchers to build ethical, scalable, and intuitive systems. If you are passionate about the convergence of biology and technology and want to lead the charge into the post-human era, we want to hear from you.
Why Join Us?
- Work on groundbreaking technology that impacts billions of lives.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote and hybrid work options.
- Access to the world's most advanced neural research datasets.
Responsibilities
- Design and implement advanced machine learning algorithms for real-time neural signal processing and decoding.
- Develop robust, low-latency communication protocols for brain-computer interfaces.
- Collaborate with interdisciplinary teams to translate biological signals into actionable AI commands.
- Ensure the safety, privacy, and ethical deployment of neural technologies in consumer and industrial applications.
- Optimize hardware-software integration for wearable neural devices.
- Conduct rigorous testing and validation of neural interface prototypes in controlled environments.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related field.
- 3+ years of experience in deep learning, machine learning, or signal processing.
- Proficiency in Python, C++, and CUDA for high-performance computing.
- Experience with BCI hardware (e.g., EEG, fNIRS) and data acquisition libraries.
- Strong understanding of neural network architectures and optimization techniques.
- Excellent problem-solving skills and the ability to work in a fast-paced, innovative environment.