BCI Systems Engineer - Advanced Signal Processing

Precision BioMEMS; Santa Clara (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Precision Neuroscience is seeking an EE Systems Engineer to analyze and improve the end-to-end signal processing chain for our next‑gen brain–computer interface. You will work with EE design, firmware, ML, and software teams to enhance signal acquisition and processing from sensors to ML features.

You will join a US-based team with offices in Santa Clara, NY, Chicago, or Boston, and contribute to safe, high‑performance systems in a fast‑moving field.

Qualifications

• Strong background in end-to-end signal processing for sensors and ML features.
• Experience with adaptive filtering and interference rejection techniques.
• Familiarity with embedded signal processing and fixed-point optimization.

Responsibilities

• Analyze and improve end-to-end BCI signal acquisition systems.
• Design advanced signal processing methods to enhance data quality.
• Model device performance vs bench measurements and collaborate across teams.

Skills

Signal processing

Analog DSP

Adaptive filters

Control systems

Python

MATLAB

Simulink

SystemC/SystemVerilog

FPGA/DSP implementation

On-device ML

PyTorch

Education

Advanced degree in EE or related field

Tools

MATLAB

Simulink

SystemC

SystemVerilog

PyTorch

Job description

Precision Neuroscience is seeking an EE Systems Engineer to analyze and improve the end-to-end signal processing chain for our next‑gen brain–computer interface. You will work with EE design, firmware, ML, and software teams to enhance signal acquisition and processing from sensors to ML features.

You will join a US-based team with offices in Santa Clara, NY, Chicago, or Boston, and contribute to safe, high‑performance systems in a fast‑moving field.