Engineering Manager, Robot Data Visualization

Zoox · San Francisco

Software EngineeringSoftwareHybridFull-time

Zoox is hiring a Engineering Manager, Robot Data Visualization in San Francisco, California (hybrid, full-time). Posted 6 October 2026. Apply directly on Zoox's own careers site — no account needed.

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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:

Leadership & Team Growth: Lead, mentor, and grow a team of software engineers specializing in frontend graphics (TypeScript, WebGL, Three.js) and high-performance backend systems (C++)
Product & Technical Vision: Own the technical roadmap across two primary product lines - deep single-vehicle introspection tools and fleet-wide analytics platforms
Push Web & Performance Limits: Architect strategies to push browser performance boundaries, handling complex 3D rendering, time-series data, video streaming, and multi-layered map assets without sacrificing client-side responsiveness
Usability & Capability Expansion: Drive continuous improvements in system usability, expanding capability suites so internal engineering users can quickly diagnose edge cases and evaluate fleet performance
Cross-Functional Collaboration: Partner closely with autonomy, safety and infrastructure teams to convert complex debugging workflows into intuitive visualizations
Engineering Culture: Foster an inclusive, high-impact culture focused on technical excellence, quality, and continuous mentorship

Qualifications

Engineering Leadership: 3+ years of experience managing, recruiting, and developing high-performing software engineering teams
Technical Background: 7+ years of experience in software development, with a strong foundation in complex, data-intensive web applications or developer tooling
Browser Performance Expertise: Direct experience or leadership in pushing browser execution limits (client-side memory management, WebGL/Three.js execution, WebAssembly, or large data streaming)
Product & UX Focus: Strong dedication to technical user experience and intuitive UI design for developer workflows.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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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