R&D DSP Intern — Automotive Ethernet & Signals

Anite; Colorado Springs (CO); On-site; USD 79,000 - 85,000; Full time

Benefits offered by this job

Relocation assistance

Equal Opportunity Employer

Job summary

Keysight is seeking a senior student or early-career engineer to contribute to a Signal Separation Project focused on Automotive Ethernet Full Duplex Standards. You will work with real-time oscilloscope waveform data, high-bandwidth probes, and test fixtures, validating performance using protocol decoders and documenting findings.

The role requires a strong background in electrical engineering, signal processing, and DSP, with proficiency in Python, MATLAB, and at least one compiled language.

Qualifications

• Strong understanding of Digital Communications, PAM signaling, scramblers, equalization (FFE/DFE), timing recovery, and eye-diagram analysis.
• Linear algebra basics: least-squares, ridge/Tikhonov, condition numbers.
• Proficiency with Python and MATLAB, plus C# or C++ for porting prototype to C#.

Responsibilities

• Contribute to a Signal Separation Project focused on Automotive Ethernet Full Duplex Standards.
• Understand automotive communication standards from technical specs and validate performance with oscilloscope protocol decoder.
• Design controlled experiments and document negative as well as positive results.
• Maintain comprehensive project documentation with justification for constants and parameters.
• Collaborate on signal processing and measurement research efforts.

Skills

Signal processing

Lab measurements

High-speed signals

Documentation

Education

Electrical Engineering major (Senior undergrad, MS, or PhD preferred)

Tools

Python

MATLAB

C++

C#

Job description

Keysight is seeking a senior student or early-career engineer to contribute to a Signal Separation Project focused on Automotive Ethernet Full Duplex Standards. You will work with real-time oscilloscope waveform data, high-bandwidth probes, and test fixtures, validating performance using protocol decoders and documenting findings.

The role requires a strong background in electrical engineering, signal processing, and DSP, with proficiency in Python, MATLAB, and at least one compiled language.