Engineering Manager, Robot Data Visualization

• 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

• 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.

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission.    Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques.   The Opportunity We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox.   You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. 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. Follow us on LinkedIn 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.