
About Zoox
Revolutionizing transportation with autonomous vehicle technology
Key Highlights
- Raised $1.2 billion in Series B funding
- Headquartered in Foster City, CA with 1001+ employees
- Innovative vehicle design with independent wheels and no front/back
- Part of a $2 trillion industry projected by 2030
Zoox, headquartered in Foster City, CA, is pioneering autonomous vehicle technology with a unique driverless ecosystem. The company has raised $1.2 billion in Series B funding and employs over 1,000 people. Its innovative vehicle design, revealed in December 2020, features independent wheels and a b...
🎁 Benefits
Zoox offers work-from-home opportunities, comprehensive health insurance, and generous paid parental leave. Employees enjoy unlimited flexible paid ti...
🌟 Culture
At Zoox, the culture is centered around innovation in autonomous transportation, with a focus on safety and enjoyment. The company promotes a collabor...

Data Engineer • Intern
Zoox • Foster City - On-Site
Skills & Technologies
Overview
Zoox is hiring a Data Engineer Intern to build data pipelines and infrastructure for autonomy development. You'll work with technologies like Databricks, Spark, and Looker in Foster City, CA.
Job Description
Who you are
You are a driven individual with a strong academic background and a passion for data engineering. You demonstrate curiosity and a desire to learn, making you an ideal candidate for an internship at Zoox. You have a foundational understanding of data pipelines and analytics, and you are eager to apply your knowledge in a real-world setting. Your ability to collaborate with others and communicate effectively will help you thrive in a team-oriented environment.
You are familiar with modern data processing technologies and have a keen interest in building scalable data solutions. Your academic projects or previous experiences may have involved working with data platforms, ETL processes, or visualization tools. You are excited about the opportunity to contribute to the development of autonomous driving technologies and support data scientists and engineers in their work.
What you'll do
As a Data Engineer Intern at Zoox, you will be assigned to one of several teams where you will gain hands-on experience in building data pipelines and infrastructure. On the Autonomy Software V&V team, you will develop ETL pipelines for processing vehicle logs and create data platforms for metrics computation using tools like Databricks, Spark, and Ray. You will also build visualization dashboards using Looker and Grafana to help stakeholders understand complex data sets.
In addition to working on data pipelines, you will manage run metadata and pipeline processing to ensure data scientists and engineers can efficiently access and analyze petabytes of autonomous driving data. You will also have the opportunity to work with the Content team, where you will build and maintain pipelines that transform data at scale to support analytics throughout the company. This role will involve designing and building data models for key business domains such as autonomy, riders and fleet, and simulation.
Throughout your internship, you will receive mentorship from experienced professionals in the industry, allowing you to grow your skills and knowledge in data engineering. You will be encouraged to ask questions, seek feedback, and actively participate in team discussions to enhance your learning experience.
What we offer
At Zoox, we provide a supportive internship program that emphasizes hands-on learning and professional development. You will have the chance to work with cutting-edge technology and contribute to meaningful projects that impact the future of transportation. Our team is composed of some of the brightest minds in the industry, and you will benefit from their expertise and guidance.
We encourage you to apply even if your experience doesn't match every requirement. We value diverse perspectives and believe that a variety of backgrounds enriches our team. Join us at Zoox and be part of a mission-driven company that is shaping the future of autonomous vehicles.
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