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Information Technology 🏒 Full Time ⭐️ Verified

Senior Neural Interface Engineer

FutureCore Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the interface between humanity and the machine? FutureCore Systems is at the forefront of the 2026 technological revolution, pioneering direct neural interfaces that redefine human potential.

We are seeking a visionary Senior Neural Interface Engineer to lead our R&D division. You will architect the next generation of low-latency, high-bandwidth brain-computer interfaces (BCI) designed for seamless integration into daily life. This is a unique opportunity to work on cutting-edge hardware that bridges the gap between biological cognition and digital processing.

If you thrive in a fast-paced, high-stakes environment and want to leave a legacy in the history of technology, we want to meet you.

Responsibilities

  • Architecting Neural Architectures: Design and implement cutting-edge algorithms for signal processing and decoding neural activity in real-time.
  • Low-Level Optimization: Optimize firmware and drivers for latency reduction and energy efficiency in embedded systems.
  • Cross-Disciplinary Collaboration: Work closely with neuroscientists and cognitive psychologists to refine user experience models and feedback loops.
  • Rigorous Testing: Oversee safety protocols, stress-testing procedures, and validation for biological hardware integration.
  • Intellectual Property: Contribute to patent filings regarding new synaptic mapping techniques and signal modulation methods.
  • Team Leadership: Mentor junior engineers and establish coding standards for high-stakes engineering projects.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related quantitative field.
  • Experience: 7+ years of experience in embedded systems, real-time processing, or machine learning, preferably in a high-tech or medical device sector.
  • Technical Skills: Proficiency in C++, CUDA, and Python with strong knowledge of neural networks, signal processing, and digital signal processing (DSP).
  • Problem Solving: Demonstrated ability to solve complex signal degradation issues and optimize for edge computing environments.
  • Communication: Excellent ability to translate complex technical concepts for non-technical stakeholders and regulatory bodies.

Required Skills

Neural Networks C++ Signal Processing Python Embedded Systems BCI Machine Learning Latency Optimization FPGA Real-time Systems

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