Software Engineer, Eval Data Infra

Roles and 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

Preferred Qualifications:

• Experience with A/B experiment infrastructure
• Exposure to ad-hoc data analysis utilizing SQL
• Prior experience working within the autonomous vehicle (AV) industry

Compensation:

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.

• Hourly Masters Pay: $70—$70 USD
• Hourly PhD Pay: $85—$85 USD

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

Equal Opportunity:

Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees.