About the role

This R&D Software Engineering Internship involves contributing to a Signal Separation Project focused on Automotive Ethernet Full Duplex Standards.

What you'll do

Contribute to a Signal Separation Project focused on Automotive Ethernet Full Duplex Standards.
Work with real-time oscilloscope waveform data, high-bandwidth voltage probes, current probes, and test fixtures.
Understand automotive communication standards from technical specifications.
Validate performance using an oscilloscope's protocol decoder.
Design controlled experiments and document results, including justification for selected constants and parameters.

Electrical Engineering major (Senior undergraduate, Master's, or PhD student preferred).
Strong understanding of Digital Communications, including PAM signaling, scramblers, equalization (FFE/DFE), timing recovery, and eye-diagram analysis.
Strong understanding of linear algebra, including least-squares methods, regularization techniques (Ridge/Tikhonov), and condition numbers.
Proficiency with Python and MATLAB, and at least one compiled programming language (C# or C++).
Demonstrated proficiency in Signals and Systems and Digital Signal Processing (DSP).
Foundational knowledge of FFTs, filtering, and time- and frequency-domain analysis.

Exposure to wired PHY-layer technologies (e.g., Automotive Ethernet, 1000BASE-T, PCIe).
Exposure to the Keysight Infiniium framework or oscilloscope automation.
Exposure to Wireshark or Scapy.
Experience interpreting IEEE standards.

Skills: signal separation, Automotive Ethernet, real-time oscilloscope, digital signal processing, Python and MATLAB