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# Staff Tech Lead, ML Data Infrastructure and Inference Platform

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $251,000 - $310,000
- **Contract:** Permanent contract
- **Skills:** Big Data, C++ (Programming Language), Software Documentation, Computer Programming, Data Infrastructure, Data Stores, Distributed Systems, Machine Learning, Software Engineering, Large Language Models
- **Published:** November 9, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-tech-lead-ml-data-infrastructure-and-inference-platform-mountain-view-ca--bf02a0cf-5b79-48c2-bfd6-9a8b000e05f4

## About the Role

Technical Leadership, Technical Leadership, Software Engineering, Autonomous Driving Systems, Use Cases, Process Improvement, Team Player, Ecosystems, Data Quality, User Documentation, * 6+ years of professional experience in the field of software engineering

 * Experience tech leading projects with high cross team collaboration
 * Experience tech leading a team of engineers on complex projects
 * Experience in programming C++
 * Experience with building highly scalable distributed system
 * Experience with ML Data and ML Flywheels

We prefer:

 * Passionate about Data and building ML infra & tools
 * Experience Tech leading projects, cross functional projects
 * Experience with handling large datasets in the order of exabytes
 * Experience building machine learning infrastructure and model hosting / inference infrastructure
 * Experience with production services with high QPS.

## Description

* As a Tech Lead you'll build, lead and contribute to Waymo's ML data infrastructure platform to enable planet scale ML Flywheel for all ML models at Waymo via data store and data infra ecosystem.
 * Work closely with teams across Waymo both onboard & offboard Foundation models, to understand the data infra needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet scale data store and ensure the seamless adoption and guide the development of our infra components.
 * You will closely lead, mentor and guide a team of engineers to build and onboard teams to the infrastructure efficiently.
 * The team has a large surface area and scope in terms of impact, cross team collaboration and direct interaction with ML models at Waymo.