Job Description
We are seeking a visionary Lead Neural Interface Engineer to join our elite R&D division. As we approach 2026, the convergence of neuroscience and deep learning is creating a paradigm shift in human-computer interaction. You will be responsible for architecting the next generation of non-invasive Brain-Computer Interfaces (BCI) that allow seamless cognitive augmentation. This role requires a rare blend of software engineering prowess, hardware understanding, and neuroscientific insight.
Why Join Us?
- Work on projects that define the future of human evolution.
- Competitive equity package and top-tier compensation.
- Access to state-of-the-art lab facilities and neuroimaging hardware.
Responsibilities
- Design and implement low-latency neural signal processing pipelines using Python and C++.
- Collaborate with neurologists to map cortical activity and optimize signal-to-noise ratios.
- Lead a cross-functional team of firmware engineers and data scientists to improve BCI accuracy.
- Ensure rigorous data privacy and security standards for neural data storage.
- Drive the technical roadmap for our upcoming consumer-grade neural headsets.
- Conduct research on novel machine learning models for decoding motor and cognitive intent.
Qualifications
- Master’s or PhD in Computer Science, Neuroscience, Biomedical Engineering, or a related field.
- 5+ years of experience in deep learning, signal processing, or embedded systems.
- Proficiency in Python, TensorFlow, PyTorch, and CUDA.
- Experience with neuroimaging modalities (fMRI, EEG, MEG) is highly preferred.
- Strong understanding of hardware-software integration and real-time systems.
- Track record of publishing in top-tier conferences (NeurIPS, ICML, etc.) or patenting novel technologies.