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The Staff Site Reliability Engineer will lead source control strategy, manage Git-based monorepo operations, improve developer productivity, and oversee migrations to GitHub Cloud.

The role involves optimizing GPU-based algorithms, developing benchmarking frameworks, analyzing performance metrics, and facilitating efficient code development for autonomous vehicle systems.

Lead electrical engineering for high-performance compute modules, owning high-speed digital designs and embedded systems. Collaborate cross-functionally, drive technical decisions, perform board and system-level testing, and support prototype through high-volume manufacturing.

Design and optimize on-vehicle perception inference: allocate CPU/GPU resources, compress and quantize large multimodal models, build TensorRT model conversion pipelines, and deliver production-quality low-latency C++/CUDA inference for power- and thermal-constrained vehicle SoCs.

Own and maintain company-wide employee expense, benefits, and stock-based compensation models; maintain long-range and annual G&A financial models; partner on headcount planning and MEC activities; analyze large datasets from Anaplan, SAP S4, and SAP Ariba; manage close activities and deliver actionable financial insights to support decision-making.

Support Commercial Operations FP&A for Zoox's Robotaxi business by building and maintaining long-range and short-term financial models, producing city-level market analysis, analyzing large datasets from enterprise systems, partnering cross-functionally to industrialize data pipelines, and supporting systems implementation to deliver actionable financial insights.

Own and architect a distributed test-orchestration platform for build integrity tests; lead a small engineering team; ensure resilience, reliable task scheduling/execution, result collection, and provide APIs/frameworks for cross-team integration across manufacturing and fleet.

Develop and deploy deep learning models (imitation and reinforcement learning) for agent behavior prediction and driving plan generation. Build large-scale ML pipelines, training frameworks, and metrics to evaluate safety, comfort, progress, and realism. Create tools to analyze errors and collaborate with Perception, Planning, Simulation, and Validation teams to improve autonomous driving performance.

Lead production quality assurance activities: track and resolve non-conformances, drive root cause analysis and corrective actions, establish NVH inspection processes, develop PFMEA and control plans, and lead continuous improvement across supplier, manufacturing, and vehicle development teams to ensure products meet specifications and customer expectations.

The Senior Manager will lead CAPEX and Tooling Procurement, oversee sourcing strategies, manage supplier partnerships, and ensure alignment across manufacturing and engineering for factory development and production scale-up.