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Biotechnology 🏢 Full Time ⭐️ Verified

Neural Interface Systems Engineer

NeuroSync Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NeuroSync Technologies at the forefront of human augmentation revolution. We're pioneering next-generation neural interfaces that seamlessly integrate biological cognition with artificial intelligence. As a Neural Interface Systems Engineer, you'll architect the future of human-computer symbiosis in our state-of-the-art San Francisco lab. Collaborate with neuroscientists, AI researchers, and bio-engineers to develop implantable systems that restore sensory functions and enhance cognitive capabilities. Your work will directly impact lives while pushing the boundaries of what's possible in neurotechnology.

Responsibilities

  • Design and validate implantable neural interface hardware with sub-micron precision
  • Develop closed-loop biofeedback systems using real-time EEG/ECOG data processing
  • Integrate machine learning algorithms for pattern recognition in neural signals
  • Conduct pre-clinical testing protocols in ISO 13485-compliant environments
  • Collaborate with FDA regulatory specialists for 510(k) pathway clearance
  • Lead cross-functional teams in agile development of neuro-prosthetic prototypes
  • Document technical specifications in compliance with ISO 14971 risk management standards

Qualifications

  • PhD in Biomedical Engineering, Neuroscience, or related field with 5+ years industry experience
  • Expertise in microfabrication of biocompatible neural probes (e.g., Utah array, Michigan probes)
  • Proficiency in Python/C++ for real-time signal processing and embedded systems
  • Published research in IEEE Transactions on Biomedical Engineering or equivalent
  • Certification in ISO 13485 quality management systems
  • Experience with FDA regulatory submissions for Class II/III medical devices
  • Strong background in electrophysiology and neural signal analysis techniques

Required Skills

Neural Engineering Biomedical Signal Processing Implantable Devices Machine Learning FDA Compliance ISO 13485 Microfabrication Real-Time Systems

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