Job Description
Nexus Horizon Labs is pioneering the next generation of human-computer symbiosis. We are looking for a visionary Senior Neural Interface Engineer to architect the technical backbone of our 2026 product roadmap.
As a key player in our Future Tech division, you will bridge the gap between advanced machine learning and neuro-prosthetics. You will define the protocols that allow seamless data transmission between biological neural networks and digital infrastructures. This is a high-impact role for those ready to shape the future of the industry.
Responsibilities
- Architect and design low-latency neural pathways for next-generation Brain-Computer Interface (BCI) systems.
- Lead the technical definition of the 2026 roadmap, ensuring scalability and security in neural data transmission.
- Collaborate with interdisciplinary teams of neuroscientists, UI/UX designers, and AI researchers.
- Optimize algorithmic performance for real-time processing of high-density neural data streams.
- Implement robust encryption and ethical AI frameworks to protect user data and cognitive privacy.
- Mentor junior engineers and establish coding standards for high-precision bio-digital systems.
Qualifications
- Master’s or PhD in Computer Science, Neuroscience, Electrical Engineering, or a related field.
- 5+ years of experience in machine learning, signal processing, or embedded systems.
- Proven track record of working with BCI hardware, FPGA, or similar bio-digital interfaces.
- Strong proficiency in Python, C++, and CUDA.
- Experience with deep learning frameworks (TensorFlow, PyTorch) applied to time-series data.
- Excellent problem-solving skills and ability to thrive in a fast-paced, futuristic environment.