Job Description
Are you ready to shape the technology of tomorrow? Apex Dynamics is seeking a visionary Senior Neural Interface Engineer to lead our cutting-edge Brain-Computer Interface (BCI) division. We are defining the standard for human-machine interaction in 2026 and beyond.
In this pivotal role, you will architect the neural data pipelines that power our next-generation prosthetics and cognitive augmentation platforms. You will work alongside world-class neuroscientists and hardware engineers to transform raw neural signals into seamless digital experiences.
Why join Apex Dynamics?
- Work on projects that redefine human capability.
- Competitive equity and benefits package.
- State-of-the-art facilities in the heart of San Francisco.
Responsibilities
- Design and optimize real-time signal processing algorithms for non-invasive BCI hardware.
- Develop and deploy deep learning models to interpret complex neural patterns with high accuracy.
- Collaborate with cross-functional teams to integrate neural feedback into consumer devices.
- Conduct rigorous testing to ensure latency and stability under varying environmental conditions.
- Stay abreast of the latest research in computational neuroscience and neuromorphic computing.
Qualifications
- Ph.D. or M.S. in Computer Science, Electrical Engineering, Neuroscience, or a related technical field.
- Minimum of 5 years of experience in machine learning, signal processing, or robotics.
- Proficiency in Python, C++, and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of statistics, linear algebra, and optimization techniques.
- Demonstrated ability to lead technical projects and mentor junior engineers.