UWB Radar Signal Processing Intern — On-site, Real Hardware

NXP Semiconductors; Irvine (CA); On-site; USD 64,000 - 110,000; Full time

Job summary

NXP Semiconductors is seeking passionate engineering students for a hands-on UWB Radar Modem internship in Irvine, CA. You will develop DSP and ML algorithms, build simulations, and work with real radar hardware in a collaborative environment.

The role emphasizes translating mathematical concepts into practical implementations, with opportunities to contribute to measurement automation and data analysis while coordinating with RF, hardware, and software teams.

Qualifications

• Pursuing a Master’s or Ph.D. in Electrical or Computer Engineering.
• Strong foundation in DSP, signals and systems, communication theory, linear algebra, probability, or related areas.

Responsibilities

• Research, develop, and evaluate signal-processing and ML algorithms for UWB Radar applications.
• Build simulation, algorithm-development, and data-analysis tools.
• Design and conduct laboratory experiments, collect radar measurements, and analyze system performance.
• Develop tools for measurement automation, data collection, and chip/system validation.
• Prototype and demonstrate new sensing capabilities using real-world radar data and hardware.
• Document results and communicate findings through technical reports, presentations, and demonstrations.
• Collaborate with systems, algorithms, RF, hardware, software, and applications teams.

Skills

Python

MATLAB

C/C++

Digital signal processing

Machine learning

Data analysis

Strong analytical skills

Education

Master’s or Ph.D. in Electrical Engineering or Computer Engineering

Tools

Python

MATLAB

C/C++

Job description

NXP Semiconductors is seeking passionate engineering students for a hands-on UWB Radar Modem internship in Irvine, CA. You will develop DSP and ML algorithms, build simulations, and work with real radar hardware in a collaborative environment.

The role emphasizes translating mathematical concepts into practical implementations, with opportunities to contribute to measurement automation and data analysis while coordinating with RF, hardware, and software teams.