Software Engineering • Entry-Level

Who you are

You are a PhD student with a strong foundation in software engineering and a keen interest in machine learning. You have experience with Python and are eager to apply your knowledge in a practical setting. You are excited about the potential of autonomous driving technology and are motivated to contribute to a team that prioritizes safety and innovation. You thrive in collaborative environments and are open to learning from industry leaders while sharing your insights.

Desirable

Experience with generative AI models or automated evaluation workflows would be a plus, as would familiarity with autonomous systems or robotics. You are adaptable and willing to tackle complex challenges, demonstrating a proactive approach to problem-solving.

What you'll do

As a Summer Intern at Waymo, you will work closely with the Release Evaluation team to enhance the signal quality of our evaluation workflow. Your primary responsibility will be to detect issues in the onboard perception system, ensuring that each version of the Waymo Driver is safe before it hits the road. You will apply generative AI models to develop features that provide insights into offboard perception detection qualities. This role will allow you to engage with cutting-edge technology and contribute to the safety and reliability of autonomous driving systems.

You will collaborate with experienced engineers and researchers, gaining hands-on experience in building automated pipelines that address rare and exceptional scenarios in autonomous driving. Your work will directly impact the evaluation processes that ensure the safety of our autonomous vehicles. You will also have opportunities to participate in team meetings, contribute to discussions, and present your findings to your peers.

What we offer

Waymo provides a supportive and inclusive environment where interns are valued members of the team. You will receive mentorship from industry leaders and have the chance to work on projects that have a real impact on the future of mobility. The internship is full-time, and you will be compensated at an hourly rate of $85. Interns are also eligible to participate in the company’s generous benefits programs, subject to eligibility requirements. Join us for a rewarding experience that will enhance your skills and expand your professional network.