FAQs
What responsibilities will I have as an Autonomous Vehicle Perception Intern?
As an intern, you will collaborate with engineers to develop and implement computer vision and machine learning algorithms for autonomous vehicle perception, work with sensor data from various sources, and contribute to the development of a scalable and maintainable code base.
What technical skills are required for this internship?
Fluency in C++ or Python, experience in computer vision and machine learning, and knowledge of autonomous driving perception techniques are required. Experience with CUDA is a bonus.
What educational background is preferred for this position?
Candidates should have an MSE degree or be a senior PhD candidate in Computer Science, Computer Vision, Robotics, or related fields.
What is the compensation range for this internship?
The monthly salary range for this position is $6,500 to $9,500, varying based on role, degree level, and type.
Are there additional benefits offered with this internship?
Yes, additional benefits may include medical insurance, 401k, and a housing stipend.
Is previous experience in autonomous driving perception necessary?
While experience in autonomous driving perception such as object detection, sensor fusion, tracking, and state estimation is nice to have, it is not strictly necessary.
How can I request accommodations during the application or interview process?
You can reach out to accommodations@zoox.com or contact your assigned recruiter for any accommodation needs.
Does Zoox value diverse perspectives in their hiring process?
Yes, Zoox is committed to building a diverse team and believes that a variety of backgrounds, experiences, and skills enhance innovation and success. You do not need to match every listed expectation to apply.
What type of work environment can I expect at Zoox?
You can expect a fast-moving and highly execution-oriented team environment focused on innovation in robotics, machine learning, and design for urban mobility solutions.

