Senior Software Development Engineer in Test
Required skills
- Python
- AI-based coding
- CI pipelines
- regression suites
- root cause analysis
- log mining scripts
- Grafana
- SQL-based notebooks
- gap analyses
- safety requirements
Nice to have
- C++
- Pytest customization
- autonomous systems
- safety-critical robotics validation
- Generative AI
- Machine Learning
Role summary
Zoox is seeking a Senior Software Development Engineer in Test (SDET) for its Release Management Team to accelerate software releases by ensuring safety and reliability. This coding-intensive role involves developing Hardware-In-Loop (HIL) tests, architecting CI pipelines, leading root cause analysis for system failures, and performing gap analyses between safety requirements and test implementations. The ideal candidate will have 7+ years of experience, a strong background in Python, HIL/SIL methodologies, CI tools, Linux internals, and networking protocols, with a Bachelor's degree or higher in a relevant technical field. Experience with C++, Pytest, autonomous systems, and ML/Generative AI for testing is a plus.
In this role, you will:
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:
Bachelor's or higher degree in Mechatronics Engineering, Computer Science, Electrical Engineering or a relevant technical field.
7+ years of experience with demonstrated ownership of 3+ complex projects
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, Buildkite, Jenkins, or similar CI Tools) and developing custom automation plugins.
Practical knowledge of Linux internals and networking protocols used in high-throughput real-time systems.
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 real-time communication protocols (e.g., DDS, I2C, SPI, CAN, GMSL2).
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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