3 месяца назад
Technical Lead Manager, Query & Storage (AI)
251 000 - 310 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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