Zoox is transforming mobility with fully autonomous electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer more sustainable and accessible to everyone. At Zoox innovation collaboration and a bold vision for the future drive everything we do.
Zooxs internship program offers hands-on experience with cutting-edge technology mentorship from some of the industrys brightest minds and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance engagement beyond the classroom intellectual curiosity and a genuine interest in Zooxs mission.
As an intern at Zoox youll be working alongside those that architect design and develop our state of art hardware and signal processing systems for enabling autonomous mobility. At Zoox youll collaborate with a team of world class engineers with diverse backgrounds in areas such as AI and ML robotics and simulation. Youll master new technologies while working on code algorithm and research in your area so expertise to create and refine the key systems that move Zoox forward.
As an intern in the DSP team you will be working on design and implementation of signal processing and machine learning algorithms related to radars depth cameras lidars and audio subsystems. We are looking for curious and highly mathematical minds to work with us.
Program Requirements
- 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 a 12-week internship beginning in May or June 2026.
- 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.
Qualifications
- 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
Bonus 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.)
Compensation:
The monthly salary range for this position is $6500 to $9500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a housing stipend (relocation assistance will be offered based on eligibility).
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
Zoox is transforming mobility with fully autonomous electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer more sustainable and accessible to everyone. At Zoox innovation collaboration and a bold vision for the future drive everything we do...
Zoox is transforming mobility with fully autonomous electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer more sustainable and accessible to everyone. At Zoox innovation collaboration and a bold vision for the future drive everything we do.
Zooxs internship program offers hands-on experience with cutting-edge technology mentorship from some of the industrys brightest minds and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance engagement beyond the classroom intellectual curiosity and a genuine interest in Zooxs mission.
As an intern at Zoox youll be working alongside those that architect design and develop our state of art hardware and signal processing systems for enabling autonomous mobility. At Zoox youll collaborate with a team of world class engineers with diverse backgrounds in areas such as AI and ML robotics and simulation. Youll master new technologies while working on code algorithm and research in your area so expertise to create and refine the key systems that move Zoox forward.
As an intern in the DSP team you will be working on design and implementation of signal processing and machine learning algorithms related to radars depth cameras lidars and audio subsystems. We are looking for curious and highly mathematical minds to work with us.
Program Requirements
- 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 a 12-week internship beginning in May or June 2026.
- 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.
Qualifications
- 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
Bonus 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.)
Compensation:
The monthly salary range for this position is $6500 to $9500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a housing stipend (relocation assistance will be offered based on eligibility).
About Zoox
Zoox is developing the first ground-up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Intern
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