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Signal Processing Intern at Zoox in Foster City, CA
InternshipOn-siteFull-timeFoster City, CA$78k–$114k/yr
Skills
cc++pythonmatlabdigital signal processingalgorithm designradar signal processingmachine learningcan-do attitude
Job Description
Summary: Zoox is transforming mobility with fully autonomous, electric vehicles designed for a driverless future. As a Signal Processing Intern, you will work alongside engineers to develop cutting-edge hardware and signal processing systems that enable autonomous mobility.
Responsibilities:
- Design and implementation of signal processing and machine learning algorithms related to radars, depth cameras, lidars and audio subsystems
Required Qualifications:
- Currently pursuing a B.S., M.S., or other advanced degree in a relevant engineering field
- Plan to return to school after completing the internship
- Maintain good academic standing
- Available to commit to either a 12-week internship (beginning in May or June 2026), or a 6-month co-op
- At least one prior industry internship, co-op, or relevant project experience
- Willing and able to relocate to the Bay Area, California, for the duration of the internship
- Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox
- Proficiency in C, C++, Python and/or Matlab
- Course work in Digital Signal Processing, Circuits and systems, Stochastic filtering, Probability and Statistics, Random Signals and Noise
- Hands-on experience related to algorithm design in one or more areas related to radar and lidar processing
- Ability to bring your best can-do attitude daily while solving hard problems with constraints
Preferred Qualifications:
- Experience with Radar Signal Processing and understanding of the radar pipeline (ADC data, FFT, Range-Doppler maps, CFAR, angle-of-arrival estimation)
- Experience with processing 4D radar data or raw sensor data
- HW and SW experience or research related to radar processing and/or radar perception
- Experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN, LLMs, VLMs, Transformers) and traditional statistical modeling/feature extraction techniques (GMM, HMM, NMF / spectrograms etc.)
Required Skills: C, C++, Python, Matlab
Important Skills: Digital Signal Processing, Algorithm Design, Radar Signal Processing, Machine Learning
Nice-to-Have Skills: Can-do attitude
Benefits: Medical insurance, A housing stipend, Relocation assistance will be offered based on eligibility
Benefits
Medical insurance
A housing stipend
Relocation assistance will be offered based on eligibility