Staff Systems Engineer Depot & Offhaul Automation (Hybrid)

Waymo; Mountain View (CA); Hybrid; USD 230,000 - 284,000; Full time

Job summary

Waymo is hiring for a Systems Engineer in Mountain View, CA. You will work with software engineers, product managers, and operations leads to define and verify depot and offhaul automation features across the Waymo fleet.

You will develop robust verification strategies, establish qualification methods for new depots, and extend features to new vehicle platforms while solving field issues with data-driven approaches.

Qualifications

• Bachelor’s degree in computer science, electrical engineering, or other technical field.
• At least 8 years of experience in systems engineering, software development, or related field.
• Ability to read C++ to understand feature implementation and debug issues.
• Ability to query data sets (SQL) and create dashboards for debugging and performance monitoring.
• Proactive, data-driven approach and ability to work in ambiguity.

Responsibilities

• Develop and implement requirements, system architecture, and verification strategy for depot & offhaul automation features.
• Drive robust end-to-end verification and monitoring for new features across the Waymo fleet.
• Develop qualification methods to launch new features and depots and advise senior stakeholders.
• Debug field issues to determine root causes and implement improvements with cross-functional teams.
• Extend depot automation features to new vehicle platforms to maintain feature parity.

Skills

C++ reading

Dashboarding

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in computer science or electrical engineering

Tools

SQL

Job description

Waymo is hiring for a Systems Engineer in Mountain View, CA. You will work with software engineers, product managers, and operations leads to define and verify depot and offhaul automation features across the Waymo fleet.

You will develop robust verification strategies, establish qualification methods for new depots, and extend features to new vehicle platforms while solving field issues with data-driven approaches.