Job Description
Are you ready to architect the next evolution of human-machine symbiosis? Aether Dynamics is seeking a visionary Senior Neural Interface Engineer to lead our groundbreaking 2026 initiative.
In this pivotal role, you will bridge the gap between advanced deep learning and biological signal processing. You won't just be writing code; you will be defining the standard for seamless neural connectivity. We are looking for a problem solver who thrives in a fast-paced, high-stakes environment where innovation is the only constant.
Join a team of elite engineers and neuroscientists pushing the boundaries of what's possible. If you are driven by innovation and want to build the technology of tomorrow, today, apply now.
Responsibilities
- Design and implement real-time neural signal processing algorithms for high-bandwidth Brain-Computer Interface (BCI) hardware.
- Collaborate with cross-functional teams to integrate AI models with biological neural tissue and external devices.
- Optimize system latency and power efficiency for next-generation wearable neural transceivers.
- Conduct rigorous testing and validation of neural data transmission protocols to ensure data integrity.
- Mentor junior engineers and define technical best practices for the 2026 product roadmap.
- Stay ahead of the curve on emerging neuro-technologies and IEEE standardization bodies.
Qualifications
- Ph.D. or Master's degree in Computer Science, Neuroscience, Electrical Engineering, or a related field with a focus on computational neuroscience.
- 5+ years of experience in deep learning, signal processing, or hardware-software integration.
- Proficiency in Python, C++, and modern deep learning frameworks (TensorFlow/PyTorch).
- Strong understanding of neurophysiology and Brain-Computer Interface standards (e.g., IEEE 802.15.6).
- Experience with low-latency embedded systems and real-time data pipelines.
- Demonstrated ability to work in a highly regulated and safety-critical environment.