Jobs at Zoox

Manages city-level autonomous vehicle and robotaxi fleet operations, including team leadership, vehicle deployment, maintenance tracking, service coverage, safety, KPIs, and site performance. Partners with product, engineering, regulatory bodies, and local stakeholders to support technology updates, service enhancements, rider experience, and market launches. Leads continuous improvement, change management, and operational strategy while ensuring reliable and safe service delivery.

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.

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.

Leads supplier quality and industrialization activities for prototype and production vehicle components. Assesses supplier processes, manufacturability, tooling, and readiness; manages APQP through PPAP and start of production; reviews quality documentation and metrics; leads RCCA, containment, corrective actions, audits, and continuous improvement. Supports material disposition and MRB activities while applying SPC, capability studies, lean manufacturing, and quality systems. Requires up to 20% domestic travel.

Support workforce planning FP&A for Fleet Operations by maintaining contingent labor financial models, managing staffing ratios and vendor costs, conducting budgeting and forecasting, and analyzing financial and operational data. Partner with Operations, Finance, and staffing vendors to manage labor spend, invoicing, variance analysis, and close activities while developing dashboards and actionable insights for staffing decisions.

Design and maintain high-speed GPU-based simulation platform ensuring deterministic execution, low latency, and reproducibility at scale. Own interfaces to the self-driving stack, optimize performance, and build self-serve systems to accelerate ML and autonomy workflows while collaborating with ML experts to bridge fidelity gaps.

The Senior Program Manager for People Experience will lead complex HR technology programs, ensuring timely delivery and alignment with business objectives while optimizing systems like ServiceNow and Workday.

Develop and optimize 3D graphics algorithms for sensor simulation, leveraging GenAI/ML techniques. Collaborate with various teams to enhance simulation realism and generate high fidelity data.

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.

Develop and optimize a high-speed GPU-based simulation framework for ML training and validation. Apply reinforcement learning to solve behavior and path-planning challenges, bridge sim-to-sim and sim-to-real fidelity gaps, enable self-serve data generation for autonomy users, and write production-ready code integrating ML into core simulation architecture.

The Software Engineer will enhance large-scale simulation pipelines for validating autonomous vehicle behavior, focusing on cost efficiency, reliability, and performance improvements.

Lead product strategy and delivery for data-science driven backend services powering pricing and fleet optimization. Own roadmap, backlog, and cross-functional execution; partner with data science and engineering to build algorithms, data pipelines, simulation and experimentation infrastructure to improve customer experience and operational efficiency.

Design, improve, and operate large-scale GPU- and data-intensive simulation and ML training pipelines (Ray/Kubernetes/AWS). Build production APIs, SDKs, and tools, and optimize cost, reliability, and performance to validate autonomous-vehicle behavior.

Lead vehicle Bill of Materials cost estimating and should-cost modeling. Maintain vehicle development cost database, create detailed component/system cost estimates, drive value engineering, identify cost reduction opportunities, and collaborate with cross-functional engineering teams to optimize component design for cost and program volumes.

Contribute to algorithmic advancements in driving behavior, ensuring effective robot operation even during failures. Collaborate cross-functionally to develop robust solutions.

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.

Lead development of automation frameworks, tools, and web-apps to streamline platform safety clearance and system-level validation (HIL/SIL). Build dashboards, execute and debug automated verification tests, and propose process improvements.

Lead and grow a team of autonomy perception TPMs, set program direction, translate strategy into roadmaps, manage schedules, risks, budgets, and stakeholder communications across autonomy software teams.