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2027 Summer Intern, MS/PhD, Software Engineer, Eval Data Infra

Waymo· Software Engineering
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Mountain View, CaliforniaFull-timePosted 2w ago

About the role

Summer internship in Mountain View focusing on data infrastructure and evaluation for Waymo Driver software, with emphasis on building data pipelines, data mining tools, and large-scale data platforms to support ML evaluation and deployment.

Responsibilities

  • Develop data pipelines to generate high-quality ML and evaluation datasets, streamlining curation, sampling, and slicing for training and testing the Waymo Driver software
  • Design and implement robust tools and infrastructure for data mining, exploration, and analysis to extract insights from large-scale datasets and drive data-driven decisions
  • Architect, build, and maintain large-scale data platforms to process Waymo driving logs and simulation data, ensuring dataset generation is fresh, accurate, and complete
  • Collaborate cross-functionally with Data Science and Quantitative Analytics teams to build data infrastructure solutions

Qualifications

  • Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field
  • Distributed Systems: Hands-on experience with systems that ingest, store, transform, and output data at scale
  • Programming Languages: Proficiency in C++ or Python within a production environment
  • Communication: Strong technical communication and collaboration skills

Skills

Required:Data pipeline developmentData mining and analysis toolingLarge-scale data platform designCross-functional collaboration

Benefits

  • Interns are eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements
  • Hourly Masters Pay: $70 USD per hour (Masters track)
  • Hourly PhD Pay: $85 USD per hour (PhD track)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Waymo

The World’s Most Experienced Driver

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.

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