Senior Software Development Engineer in Test - Verification And Validation
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Key skills for this role
Key Skills for This Role
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In this role, you will:
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.
Qualifications:
- 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
Bonus Qualifications:
Strong C++
Pytest customization experience
Background in autonomous systems or safety-critical robotics validation.
Experience applying Generative AI or Machine Learning tools to code, audit and improve test coverage and documentation.
Experience with data engineering tools like SQL, pyspark, Looker or
Databricks for large-scale performance analysis.
Experience with real-time communication protocols (e.g., DDS, I2C, SPI, CAN, GMSL2).
About Zoox
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
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