Job Description
We are seeking a visionary Senior Neural Interface Engineer to spearhead our 2026 roadmap. At Chronos Future Systems, we are building the bridge between biological cognition and digital computation. This is not just a job; it is a mission to redefine human potential.
You will work in a state-of-the-art lab in downtown San Francisco, collaborating with neuroscientists and hardware engineers to create low-latency, high-bandwidth brain-computer interfaces (BCIs) that will power the next generation of human-AI symbiosis.
Responsibilities
- Architect scalable neural network models for real-time data processing.
- Design and test biocompatible hardware interfaces with medical-grade standards.
- Collaborate with cross-functional teams to integrate AI into next-gen wearables and implantable devices.
- Optimize algorithms to reduce latency and energy consumption in edge devices.
- Conduct rigorous stress testing on neural pathways and data transmission protocols.
- Stay ahead of emerging trends in AI ethics and biocompatibility for 2026 compliance.
Qualifications
- Master’s degree or PhD in Computer Science, Neuroscience, or Electrical Engineering.
- 5+ years of experience in Machine Learning, specifically in deep learning frameworks.
- Proficiency in Python, C++, and CUDA for high-performance computing.
- Experience with medical device regulations (FDA 510(k) or similar) is highly preferred.
- Strong understanding of signal processing and biometric data analysis.
- Demonstrated ability to lead technical teams in a fast-paced R&D environment.