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The Staff Technical Operations Engineer will lead the establishment of a new team focusing on real-time command center support and monitoring for a robot fleet. Responsibilities include troubleshooting, overseeing monitoring solutions, applying SRE principles, and ensuring operational efficiency across deployed environments.

As a Senior Systems Engineer at Zoox, you will collaborate with teams to design and deploy systems for autonomous driving, ensuring traceability and safety. Responsibilities include functional safety analysis, concept development, and assisting with systems engineering processes and test plans.

The Fullstack Software Engineer will design and develop MLOps tools for AI model development, work collaboratively with machine learning engineers and data scientists, and build scalable applications for dataset management and model performance evaluation in autonomous driving technology.

The Senior Site Reliability Engineer at Zoox ensures high uptime for services critical to autonomous vehicle development. Responsibilities include designing fault-tolerant systems, deploying and operating services, supporting infrastructure, and analyzing performance metrics, leveraging tools like Kubernetes and AWS.

The Systems Validation Engineer will lead the validation of the autonomous vehicle's Power Management system, developing and implementing test plans, identifying validation gaps, and ensuring comprehensive test coverage for software features. The role requires collaboration with integration engineers to drive resolution of power management issues and support software and hardware design reviews.

The Senior Staff People Partner, Product will act as a strategic partner to senior leaders, driving talent strategies and managing performance processes. Responsibilities include developing hiring and retention strategies, influencing decisions using data, and understanding compensation trends. The role calls for extensive experience in HR and relationship building with leaders.

The Senior Software Engineer in Perception will work on building perception pipelines, developing algorithms for segmentation, tracking, and scene understanding using advanced sensor data. They will create functional realtime systems and handle large datasets efficiently.