Senior Data Pipeline Engineer – Autonomous Driving (Hybrid)

Waymo LLC; Mountain View (CA); On-site; USD 205,000 - 215,000; Full time

Job summary

Waymo LLC in Mountain View, CA seeks a software engineer to design, develop, and deploy data pipelines, storage, and query infrastructure for autonomous driving training and evaluation.

You will write high-quality code, participate in peer reviews, optimize backend systems, and collaborate with data scientists, product managers, and engineers to align data solutions with simulation and perception needs. Hybrid schedule may be available.

Qualifications

• Bachelor's degree plus 5 years of progressive experience or Master's plus 3 years in software engineering.
• Experience with data structures/algorithms to optimize backend performance.
• Proficiency in C++, Java, or Python and SQL for data retrieval.

Responsibilities

• Design, develop, and deploy data pipeline, storage, and query infrastructure for autonomous driving training and evaluation.
• Write high-quality, testable, and maintainable code for robust software performance.
• Participate in peer code reviews to uphold engineering standards and drive continuous improvement in development practices.
• Enhance systems for greater performance, scalability, and reliability across large-scale applications.
• Monitor system health and provide technical support to internal users.
• Collaborate with data scientists, product managers, and engineers to align data solutions with simulation, planning, perception, and commercialization needs.

Skills

Data structures & algorithms

Backend systems

Distributed systems

Data processing frameworks

C++

Java

Python

SQL

Education

Bachelor's degree in CS/CE/IS or related field

Master's degree in CS/CE/IS or related field

Job description

Waymo LLC in Mountain View, CA seeks a software engineer to design, develop, and deploy data pipelines, storage, and query infrastructure for autonomous driving training and evaluation.

You will write high-quality code, participate in peer reviews, optimize backend systems, and collaborate with data scientists, product managers, and engineers to align data solutions with simulation and perception needs. Hybrid schedule may be available.