Топовая лидерская позиция в одной из ведущих AI-компаний мира с очень высокой зарплатой и четким, влиятельным скоупом задач.
Высокая зарплата
Трендовый домен
Современный стек
Понятный скоуп
Топовая компания
Мэтч & Сопровод
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Текст:
Hirify AI/Оригинал
TL;DR
Technical Lead Manager, Query & Storage (Distributed Systems/AI): Leading and growing a team of software engineers to build data pipelines, storage, and query infrastructure for autonomous driving evolution with an accent on scalable distributed systems. Focus on designing and optimizing massive-scale data processing and analysis systems for commercialization expansion.
Location: Hybrid (Mountain View or San Francisco, California)
Salary: $251,000—$310,000 USD
Company
Waymo is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and safety.
What you will do
Lead, mentor, and grow a team of software engineers, fostering a culture of engineering excellence.
Define and execute the technical roadmap for data pipeline, storage, and query infrastructure.
Drive the design, development, and operation of highly scalable distributed systems for massive-scale data processing.
Collaborate with Engineering (Perception, Planner, Simulation) and Data Science stakeholders to deliver impactful solutions.
Own the end-to-end lifecycle of systems, including architecture, implementation, testing, deployment, and monitoring.
Champion best practices in software development, system design, and operational excellence.
Requirements
BS, MS, or PhD in Computer Science or a related field.
8+ years of software engineering experience with a track record in large-scale distributed systems.
Deep understanding of query engines and optimization (e.g., F1 Query, Presto) and storage systems (e.g., Bigtable, Spanner).
2+ years of experience in engineering management or tech leadership.
Proficiency in SQL and one of C++, Java, or Python.
Must be based in the US (Mountain View or San Francisco) for a hybrid schedule.
Nice to have
Experience with data warehousing, data modeling, and SQL optimization.
Experience with data processing frameworks such as Flume, Spark, or Beam.
Familiarity with Google's internal data infrastructure and tools.
Domain knowledge in autonomous vehicles, robotics, or large-scale data analysis.
Culture & Benefits
Discretionary annual bonus program.
Equity incentive plan.
Generous company benefits program.
Work in a high-impact environment solving complex autonomy challenges.
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