BCI Systems Engineer: End-to-End Signal Processing

Precision Neuroscience; Santa Clara (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Precision Neuroscience in Santa Clara is seeking an EE Systems Engineer to enhance our brain-computer interface technology. You will collaborate with various engineering teams to analyze and improve end-to-end BCI systems. Ideal candidates have expertise in analog and digital signal processing, and experience with system modeling tools like Python and MATLAB.

As an equal opportunity employer, we encourage applications from diverse candidates. Note: The position requires legal authorization to work in the US.

Qualifications

• Strong understanding of analog and digital signal processing techniques.
• Experience modeling analog imperfections related to signal processing.
• Experience with control systems and feedback fundamentals.

Responsibilities

• Analyze end-to-end sensor signal chain for BCI systems.
• Design advanced signal processing methods for signal acquisition.
• Model device performance compared to bench device performance.

Skills

Understanding of analog and digital signal processing

Knowledge of control systems

Experience with system modeling frameworks (Python / MATLAB / Simulink)

Experience with embedded signal processing

Working knowledge of ML frameworks (PyTorch)

Tools

Python

MATLAB

Simulink

Job description

Precision Neuroscience in Santa Clara is seeking an EE Systems Engineer to enhance our brain-computer interface technology. You will collaborate with various engineering teams to analyze and improve end-to-end BCI systems. Ideal candidates have expertise in analog and digital signal processing, and experience with system modeling tools like Python and MATLAB.

As an equal opportunity employer, we encourage applications from diverse candidates. Note: The position requires legal authorization to work in the US.