Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle.

The Robot Data Visualization team owns one of the most critical and widely used internal engineering platform suites at Zoox. Our team builds and scales tools that span the entire spectrum of autonomous data visualization: from single-vehicle deep introspection tools (similar to Webviz or RViz) to fleet-level visualization platforms (similar to kepler.gl or Deck.gl).

These web applications serve as the primary lens into autonomous vehicle behavior, enabling engineers across perception, prediction, planning, and systems safety to analyze how our vehicles make decisions in real-time and post-mission scenarios.

We are seeking an Engineering Manager to lead and scale this multi-product engineering team. In this role, you will define product and technical strategy across both single-vehicle and fleet-level visualization domains, mentor high-performing engineers, and push browser execution limits to deliver fast, highly usable, and scalable tools. Here’s a video of our team’s work in action, featuring frame-accurate scene rendering using a multi-widget layout:

https://shorturl.at/ewXhT

In this role, you will:

Qualifications

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.

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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.

Compensation: USD 250,000 – 309,000 per year salary