FAQs
What is the location for the internship?
The internship is located in Mountain View, California, United States.
What is the primary focus of the internship?
The primary focus of the internship is to develop tools and methodologies to enhance the performance of neural network systems on custom silicon.
What programming languages should I be proficient in for this internship?
You should be proficient in Python or C++.
What kind of knowledge is preferred for this role?
Knowledge of neural network architectures (e.g., CNNs, transformers) and performance analysis, as well as understanding of computer architecture and ML performance optimization, is preferred.
Is experience in HW/SW co-design necessary for this internship?
Experience in HW/SW co-design is preferred but not necessarily required.
What is the hourly pay for Master's and PhD interns?
The expected hourly pay for Master's interns is $50.48, and for PhD interns, it is $60.10.
Are interns eligible for benefits?
Yes, interns are eligible to participate in the company’s generous benefits programs, subject to eligibility requirements.
What will I gain from this internship experience?
Interns will have the opportunity to apply their knowledge and expand their skill-set while working on impactful projects in the autonomous driving technology field.
How has Waymo's technology progressed over time?
Waymo has evolved from the Google Self-Driving Car Project in 2009 to become a leader in autonomous driving technology, providing over one million rider-only trips and driving tens of millions of miles autonomously.
What kind of culture does Waymo promote for interns?
Waymo promotes a culture where interns are viewed as important members of the team, contributing to projects and the overall recruitment pipeline of the company.