Senior Data Platform Engineer (C++/Python) for Simulation

Waymo; United States; Hybrid; USD 251,000 - 310,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous company benefits

Job summary

Waymo’s Simulator Team is seeking an experienced software engineer to design and develop scalable C++ and Python systems for data generation and management. You will build and optimize data pipelines to process and curate massive multi-modal sensor data in a hybrid work setting.

Applicants should have 7+ years in software development, strong C++/Python skills, and experience with large-scale data processing tools like Flume, Beam, or Spark.

Qualifications

• BS or MS in Computer Engineering, Computer Science, or equivalent.
• 7+ years of software development experience in backend or infrastructure.
• Strong coding and design skills in C++ and/or Python.
• Experience with large-scale data processing systems (e.g., Flume, Beam, Spark).
• Experience with databases, data warehousing, and production monitoring.
• Ability to solve open-ended technical and system design challenges.

Responsibilities

• Design and develop scalable C++ and Python software systems for data generation and management platform.
• Build and optimize data pipelines for processing, labeling, and curating large-scale multi-modal sensor data.
• Implement robust data lifecycle management, versioning, and storage solutions.
• Improve the performance, reliability, and scalability of the data platform.
• Collaborate with engineers and researchers to define and build data APIs and interfaces.
• Contribute to the long-term architecture of the simulation data ecosystem.

Skills

C++ programming

Python programming

Backend development

Data pipelines

Distributed systems

Education

BS in Computer Engineering/CS

Tools

Flume

Beam

Spark

Databases

Monitoring tools

Job description

Waymo’s Simulator Team is seeking an experienced software engineer to design and develop scalable C++ and Python systems for data generation and management. You will build and optimize data pipelines to process and curate massive multi-modal sensor data in a hybrid work setting.

Applicants should have 7+ years in software development, strong C++/Python skills, and experience with large-scale data processing tools like Flume, Beam, or Spark.