Мощная роль в Waymo с зарплатой, которая просто разносит рыночные показатели. Идеальный вариант, если хочешь строить 'мозги' для беспилотников на огромных масштабах.
Высокая зарплата
Трендовый домен
Современный стек
Понятный scope
Престижная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Tech Lead, Self Driving Eval Infrastructure (AI): Building and architecting core data platforms and a single source of truth data lake for autonomous driving evaluation with an accent on data governance, metrics standardization, and distributed systems. Focus on optimizing the data development lifecycle, designing scalable data-centric APIs, and enhancing developer productivity for high-scale autonomous vehicle data.
Location: On-site in Mountain View, California, United States
Salary: $281,000–$356,000 USD annual base salary
Company
Waymo develops autonomous driving technology, including the Waymo Driver and fully autonomous ride-hail services.
What you will do
Lead the architecture and technical strategy for core data platforms, including a commercialization data lake and metrics portability and standardization systems.
Establish data governance frameworks that improve metadata, lineage, quality, discoverability, and consistency.
Improve data development workflows, developer productivity, and the effectiveness of data engineering and metrics development.
Collaborate with Simulation, Onboard, Machine Learning, and Commercialization teams to define data contracts and technical solutions.
Mentor senior engineers, guide critical technical decisions, and promote reliability, efficiency, and strong developer experience.
Requirements
Experience setting technical vision, driving multi-quarter roadmaps, and delivering complex data projects for senior engineering teams.
Extensive experience architecting, building, and operating large-scale distributed data systems such as data lakes, lakehouses, data meshes, streaming platforms, or query engines.
Deep expertise in data governance, metadata systems, data lineage, data quality, and data discoverability at scale.
Experience designing data-centric APIs, schemas, and data contracts.
Experience developing data pipelines and query engines, with proficiency in SQL and one of C++, Java, or Python.
Ability to work on-site in Mountain View, California.
Nice to have
Experience with autonomous vehicle operations, logistics, or ride-hailing data.
Familiarity with Google data infrastructure and tools such as F1 Query, Napa, Flume, Plx, BigQuery, or Cloud Dataflow.
Culture & Benefits
Eligibility for a discretionary annual bonus program.
Equity incentive plan, subject to eligibility requirements.
Company benefits program, subject to eligibility requirements.
Opportunity to influence autonomous driving safety, research, engineering, and commercialization through large-scale data platforms.
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