TL;DR

Radar Signal Processing and AI/ML Summer Internship (AI): Developing and validating prototype algorithms for next-gen automotive radar technologies with an accent on advanced signal processing and AI/ML techniques. Focus on solving cutting-edge automotive radar challenges like interference mitigation, MIMO waveform processing, and high-resolution angle estimation.

Location: Onsite in San Jose, California, USA. This position is specific to California and is not applicable to other locations.

Salary: $64,480–$107,500 annually

Company

%hirify_global% is building next-gen automotive radar technologies using advanced signal processing and AI/ML techniques.

What you will do

Develop and validate prototype algorithms that process data collected from state-of-art imaging radar systems.
Apply your signal processing and AI/ML knowledge to solve cutting-edge automotive radar challenges.
Apply hands-on problem-solving skills with experimental radar systems and subsystems through lab tests and measurement collection.

Requirements

Proficiency in Matlab, C/C++, Python, and ML frameworks like PyTorch and TensorFlow.
Knowledge of Signals, Systems, and Transforms, Advanced Linear Algebra, Probability and Stochastic Modeling, and Detection and Estimation Theory.
Knowledge of Wireless, Radio Location, or Radar systems, Machine learning/neural network principles and programing models, and Neural network architectures.
Familiarity with Automotive FMCW radar signal processing techniques.
Strong communications, documentation, and presentation skills.
Currently enrolled in or entering a Master's or PhD degree program in Electrical Engineering, Computer Science, or related fields.
Must be returning to school or graduating after the conclusion of the internship term (graduating prior to June 2026 requires applying for other roles).

Culture & Benefits

Opportunities to work on cutting-edge automotive radar challenges.
Competitive benefits including health, dental, and vision insurance.
401(k) and paid leave.