Senior Software Development Engineer in Test
Key Skills for This Role
Full Job Posting
In this role, you will:
Lead the design, development and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) tests and 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.
Provide technical leadership and mentorship to a small group of engineers on the team.
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).
Additional information
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
About Zoox
Autonomous mobility company developing a fully electric robotaxi fleet.
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