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Waymo is offering a summer internship for MS/PhD candidates specializing in GPU software. Interns will work on software engineering projects involving GPU optimization and performance analysis, contributing to autonomous driving technologies. Responsibilities include navigating large software projects and collaborating with engineering teams.

Waymo is looking for a Summer Intern to work on fine-tuning foundation models. You will run experiments, evaluate training efficiency, and collaborate with model owners. Strong Python skills and knowledge of optimization, deep learning algorithms, and ML frameworks are required.

As a Summer Intern at Waymo, you will design and implement a self-supervised learning task in perception models, train the model using driving logs, evaluate its impact on object and occupancy detection, and collaborate with engineering and research teams.

Interns will work on building foundation models using driving data, focusing on model training, fine-tuning, and leveraging models for various tasks. Collaboration with software engineers and product managers is essential.

You will eliminate dependencies from various binaries used in the simulator, automate performance regression detection, and improve tooling and documentation for builds. This role emphasizes collaboration with engineers on complex software challenges related to autonomous driving.

The intern will develop a workflow for automating and accelerating metrics validation at Waymo, focusing on analysis of metrics quality and coverage through a unified infrastructure and automated processes.

As an intern at Waymo, you will develop innovative algorithmic and system optimization techniques to enhance the efficiency of foundational models, benchmark their performance, and apply advanced deep learning techniques. You will collaborate with leaders in the field while gaining hands-on experience in software engineering for autonomous driving technology.