Job Description
Are you ready to bridge the gap between biology and technology? Nexus Core Systems is pioneering the next generation of neural interfaces. As we look toward the future of human-computer interaction, we are seeking a visionary Senior Neural Interface Engineer to lead our R&D efforts. This is a rare opportunity to define the standards for 2026 and beyond, working at the cutting edge of AI and neuroscience.
In this role, you will be responsible for architecting the hardware-software integration for our next-generation brain-computer interfaces (BCI). You will collaborate with a world-class team of neuroscientists, data scientists, and hardware engineers to create seamless, low-latency communication pathways for our users.
Why Join Nexus Core Systems?
- Work on high-impact projects that shape the future of human augmentation.
- Competitive compensation package with equity options.
- State-of-the-art facilities and cutting-edge technology.
- Flexible remote and hybrid work options.
If you are passionate about the intersection of artificial intelligence and human potential, we want to hear from you.
Responsibilities
- Architect and develop low-latency firmware for direct neural data transmission.
- Optimize signal processing algorithms to improve data accuracy and reduce noise.
- Collaborate with interdisciplinary teams to validate prototypes in clinical and consumer environments.
- Design scalable data pipelines for real-time neural feedback loops.
- Mentor junior engineers and guide research directions for neural learning models.
- Ensure compliance with medical device safety and data privacy regulations (HIPAA, GDPR).
Qualifications
- Ph.D. or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related field.
- Minimum of 5 years of experience in embedded systems, signal processing, or machine learning.
- Proficiency in C++, Python, and CUDA for high-performance computing.
- Experience with hardware-software co-design and real-time operating systems.
- Strong understanding of human-computer interaction (HCI) principles and neural network architectures.
- Proven track record of leading technical projects from concept to deployment.