Senior Software Development Engineer in Test at Zoox developing testing frameworks for autonomous vehicles. Leading CI pipelines and driving validation processes in a fast-paced environment.
Responsibilities
Lead the design and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication.
Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites.
Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics.
Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns.Lead end-to-end validation and clearance process for safety-critical monitors, such as for collision detection systems.
Requirements
Good technical communication skills, with the ability to summarize complex test failures and provide clear impact assessments for our tests, tools, and pipelines.
Demonstrated experience delivering complex projects in Python, including the use of AI-based coding, such as for infrastructure development, tooling and automated test writing.
Deep understanding of HIL and SIL methodologies, including real-time fault injection
Ownership from design, to implementation and maintenance of automated testing pipelines (e.g., using Bamboo, Jenkins, or similar) and developing custom automation plugins.
Practical knowledge of Linux internals and networking protocols used in high-throughput real-time systems.
Bachelors or higher degree in Mechatronics Engineering, Computer Science or a relevant technical field, such as Data Science or Electrical Engineering. **7+ of experience in the above, with demonstrated ownership of 3+ complex projects
Job title
Senior Software Development Engineer in Test – Verification and Validation
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