Job Description
Are you ready to define the future of human-AI collaboration? Nebula Systems is seeking a visionary Senior Neural Interface Engineer to lead the development of our next-generation cognitive augmentation protocols. In this pivotal role, you will architect the bridge between biological neural pathways and synthetic intelligence, pushing the boundaries of what is possible in 2026 and beyond.
We are not just building software; we are redefining the human experience through advanced neural networking. You will work with a world-class team of neuroscientists and quantum physicists to create seamless, low-latency brain-computer interfaces (BCI) that integrate seamlessly with modern cloud architectures.
Why join Nebula Systems?
- Work on groundbreaking technology that will shape the next decade of human evolution.
- Competitive compensation package including equity and stock options.
- Flexible remote-first policy with access to state-of-the-art labs in SF.
Responsibilities
- Architect and deploy low-latency neural network interfaces capable of processing real-time synaptic data.
- Optimize transmission protocols for brain-computer interfaces to minimize cognitive load and latency.
- Collaborate with cross-functional teams to integrate quantum processing resources for enhanced AI model training.
- Conduct rigorous stress testing and validation on BCI hardware prototypes to ensure safety and efficacy.
- Publish high-impact research papers and present findings at global tech conferences.
Qualifications
- PhD or Master’s degree in Computer Science, Computational Neuroscience, or a related STEM field.
- 5+ years of experience in deep learning, neural networks, or quantum algorithm development.
- Proficiency in Python, C++, and high-performance computing frameworks (TensorFlow/PyTorch).
- Hands-on experience with BCI hardware (e.g., Neuralink, OpenBCI) is highly preferred.
- Strong understanding of ethical implications and safety protocols regarding human augmentation.