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Senior Neural Interface Engineer

NeuroSync Industries
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Future of Human-Machine Interaction

We are seeking a visionary Senior Neural Interface Engineer to pioneer the next generation of brain-computer interfaces (BCIs). At NeuroSync, we are not just building technology; we are redefining human potential. If you are passionate about the intersection of neuroscience, signal processing, and embedded systems, this is your opportunity to lead groundbreaking projects.

Why Join Us?

  • Work on cutting-edge research that shapes the world of 2026 and beyond.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

The Role

You will be responsible for designing, developing, and optimizing neural signal acquisition systems. You will work closely with neuroscientists and hardware engineers to deliver seamless, high-bandwidth interfaces that empower users in medical, industrial, and consumer markets.

Responsibilities

  • Design and implement high-fidelity neural signal acquisition algorithms using FPGA and embedded C++.
  • Optimize data transmission pipelines for real-time BCI applications with low latency.
  • Collaborate with cross-functional teams to integrate sensors with wearable hardware platforms.
  • Conduct rigorous testing and validation of neural interfaces in clinical and lab environments.
  • Mentor junior engineers and lead technical architecture discussions.
  • Stay ahead of emerging trends in neurotechnology, signal processing, and AI.

Qualifications

  • Ph.D. or Master’s degree in Electrical Engineering, Neuroscience, Computer Science, or a related field.
  • Minimum 5 years of experience in neural signal processing, EEG/EMG analysis, or BCI development.
  • Proficiency in C++, Python, and MATLAB with a focus on real-time systems.
  • Experience with hardware description languages (Verilog/VHDL) for FPGA implementation.
  • Strong background in statistical signal processing and machine learning for neural data.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Neural Interface BCI Signal Processing C++ Python FPGA MATLAB Machine Learning Neuroscience Embedded Systems

Ready to Take This Challenge?

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