The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.
In this role, you will design and implement methodologies, tools, and processes for safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software engineers throughout the Zoox software org, ranging from state-of-the-art AI Autonomy software, all the way to highly-critical RTOS and middleware components.
In this role, you will
Be the go-to owner for the entire SSE pipeline ecosystem — from ClangTidy, ASAN/TSAN/Harden, and FBInfer — keeping every pipeline running smoothly across weekly, nightly, and CI so the rest of the org can trust the results.
Take pipelines from prototypes to fully deployed, CI-enforced systems across branches, shaping how "production-grade" looks for stability tooling at Zoox.
Turn raw issue data into dashboards and KPIs that tell a story — giving leadership and engineering teams a clear, real-time pulse on pipeline health and software quality trends.
Play detective when things break — root-causing gnarly cross-platform and determinism, building the instrumentation and tooling to crack them.
- Help shape what's next for the pipeline suite — pitching in on new checker rollouts, testing strategy, and define how SSE scales its infrastructure
- Qualifications:
- Advanced degree (MS or PhD) in computer science, electrical engineering, robotics, aerospace, or related fields and 3+ years of experience working on large code bases
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Experience developing in Bazel/Python, setting up backend infrastructure (databases, web servers, shell scripts, etc.), and interfacing with software written in C++ and Python.
Experienced in drafting system design diagrams and documentation for customer communication and long-term maintenance
Comfortable to whip up quick scripts to automate tasks, such as generating metrics, establishing traceability, etc, when necessary.
- Deep experience in enterprise-scale deployment practices and issues
- Bonus Qualifications:
- Experience working with PipeDream, Airflow and Looker
Proficiency in ReactJS, TypeScript and C++ (C++11, C++14, C++17) including memory management, threading, and common debugging pattern
