Best suited to candidates with experience in browser performance and ML infrastructure, working in the autonomous vehicle domain.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Zoox via Lever
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.
Compensation:
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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.
Source: Zoox careers (Lever)