Frontend Engineer Intern

Sorry, this job was removed at 06:02 p.m. (CST) on Saturday, Apr 19, 2025
Foster City, CA
In-Office
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role

We are seeking a highly skilled front-end engineer to design and develop the front-end of the metric platform for the Perception component of our autonomous driving stack. As a member of the Perception team, you will be part of the “eyes and ears” of the Zoox autonomous driving stack, deploying state-of-the-art AI solutions to ensure safe and effective driving.


In this role, you will work closely with data engineers, data scientists, and software engineers to build a scalable and high-performance platform that enables perception engineers to efficiently evaluate their models across petabytes of multimodal data. You will be responsible for guiding the design of our metrics platform and managing a suite of frontends and APIs that power our platform, ensuring that they follow best practices and increase the efficiency, safety, and accuracy of not only Perception, but Zoox’s autonomous driving stack as a whole. 


Think you have what it takes to build the best machine learning systems on this planet? Come join us!

Technical Qualifications & Language Requirements

  • Experience in software engineering and front-end application development
  • Experience with modern web frameworks (e.g. react, angular, vue), python API frameworks (e.g. FastAPI, Django), and writing high-quality backend Python code
  • Proficiency in data query languages and tools, e.g. SQL, NoSQL
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Bonus Qualifications

  • Experience with model evaluation and metric frameworks for autonomous driving or machine learning applications
  • Experience with modern data processing technologies such as Apache Spark, Apache Kafka, and Databricks
  • Experience with Dash Plotly or related frontend frameworks for data visualization

Compensation

The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.


About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


Follow us on LinkedIn


Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.


A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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The Company
HQ: Foster City, CA
2,500 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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