Senior Manager, Perception

Perception data is core to how Zoox’s robotaxis understand the world, and as Senior Manager of Perception Data, you will own the flywheel that turns that data into safer, smarter driving. You will lead our perception data organization, spanning data science, data engineering, and data labeling, and own how we mine logs, automate annotation, feed high value data into our models, and close the loop through analysis and measurement. The most valuable examples in our corpus are often the hardest to find: rare behaviors, unusual interactions, safety critical events, and the long tail of real world urban driving. Your role is not only to build the systems that process this data, but to decide what data matters and why, and to build the learning loop that lets Zoox improve model performance faster. This is an opportunity for a leader who blends strategic thinking with strong execution, has done it before at scale, and knows how to partner with ML leaders, metrics pipelines, and infrastructure teams. In this role, you will... Own the perception data flywheel. Run the learning loop from real world fleet signals and model behavior through data discovery, curation, and enrichment into training, evaluation, and measurement. Lead multidisciplinary teams. Manage and develop a 10+ person team of data science, data engineering and data labeling, setting priorities and raising the bar on execution. Automate annotation at scale. Drive auto annotation and auto labeling pipelines, reducing manual cost while improving label quality and throughput. Build advanced data miners. Develop intelligent approaches to surfacing rare, surprising, and safety critical scenarios in very large datasets, using techniques such as embeddings, semantic search, learned representations, and model driven data selection. Own log selection and storage. Define how we select, store, and retrieve fleet logs so the right data reaches our models efficiently and economicall

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. We’re looking for a technical program manager to lead the integration effort that brings together perception, planning, controls, simulation, and vehicle platform teams into a single coherent release. You'll be the connective tissue across the autonomy stack, driving the program from architecture and integration milestones through on-road validation and readiness for deployment. You'll own program strategy, execution, and risk management across hardware, embedded software, and systems integration teams, working closely with hardware engineering, PMO, perception, and platform software groups to ship on schedule. In this role, you will: Own the integration roadmap for the Vehicle autonomy platform, coordinating across perception, motion planning, controls, simulation, and vehicle software teams. Drive cross-team milestone planning, dependency mapping, and risk tracking for a program with many interlocking software subsystems. Partner with autonomy engineering and safety teams to define integration test plans, validation gates, and readiness criteria for on-road deployment. Run regular program syncs, milestone reviews, and executive readouts; translate technical status into clear risk/impact narratives for leadership. Anticipate integration risks (interface mismatches, regression risk, simulation-to-real-world gaps) and drive mitigation plans with engineering owners. Support release planning and coordination with safety, release management, and field operations teams as needed for Vehicle platform deployment. Continuously improve integration processes as the platform and org scale. Establish and evolve program management processes (planning cadences, milestone reviews, launch readiness criteria) for a fast-moving hardware-software program. Qualifications BS or MS degree in comp

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. We’re looking for a technical program manager to drive cross-functional programs delivering our next-generation compute platform and sensor architecture — the hardware and software backbone of our autonomous vehicle stack. You'll own program strategy, execution, and risk management across hardware, embedded software, and systems integration teams, working closely with hardware engineering, perception, and platform software groups to ship on schedule. In this role, you will: Own the end-to-end program plan for next-gen compute and sensor software workstreams, from architecture definition through bring-up, validation, and production readiness. Partner with hardware, firmware, perception, and systems engineering leads to align on requirements, interfaces, and milestones across the compute/sensor stack. Identify and drive resolution of cross-team dependencies, technical risks, and schedule conflicts before they become blockers. Build and maintain program schedules, tracking mechanisms, and executive-level status reporting. Facilitate technical trade-off discussions (performance, power, cost, timeline) and drive decisions to closure with engineering leadership. Establish and evolve program management processes (planning cadences, milestone reviews, launch readiness criteria) for a fast-moving hardware-software program. Qualifications BS or MS degree in computer science, engineering or equivalent job experience 8+ years of technical program management experience, with a track record on programs spanning embedded software and hardware (compute platforms, SoCs, sensors, or similar) Strong track record of managing complex, long-running, cross-functional projects Deep familiarity with software, hardware, or automotive development processes An ability to keep the big

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities. As a technical program manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve. You will work with each engineering team to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress. In this role, you will: Partner with engineering managers in the respective Autonomy team (Perception, Prediction & Behavioral ML, TeleGuidance, Planning & Controls, Collision Avoidance System) to translate the top-down corporate strategy and milestones into detailed product roadmaps, timelines, and deliverables Drive cross-functional teams across Autonomy teams to build and execute on solutions for improving our driving behavior Collaborate with engineering to figure out how best to develop the underlying measurements and datasets for Driving Behavior KPIs Highlight potential risks and proactively build out risk-mitigating actions Build and deliver executive presentations on program status, issues/risks, and accomplishments Qualifications BS/MS degree in computer science, engineering or equivalent job experience At least 6 years of experience in engineering program management Experience with AI/ML, autonomous vehicles, computer vision, large language models, reinforcement learning, simulation, and/or automotive or aerospace processes Strong track record of managing complex cross-functional projects and problem solving An ability to keep the big picture in focus and to provide clear, well-structured, and concise communications tailored to each appropriate audience Deep familiarity with software dev

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end-to-end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox's purpose-built robotaxi. As a Technical Program Manager (TPM) for Core Autonomy Capabilities in PMO, you will own the portfolio of programs launching fundamental new autonomy and safety capabilities: fail-operational architectures, the next generation of the perception and motion planning stack, learned scene understanding and behavior models, collision avoidance, and the guidance and routing capabilities that expand where the vehicle can drive. These are new capabilities rather than refinements of shipped ones, and they sit on the critical path to launch. This is a high-leverage, high-visibility portfolio role. Rather than a single subsystem, you will own several capability programs running concurrently, partnering with the TPMs who drive them and driving programs directly where no dedicated owner exists. The engineering, validation, and safety teams behind this work sit across several organizations outside your reporting line, so building credibility quickly and driving decisions without formal authority is core to the job. In this role, you will: Own the outcome for each capability. Drive programs from architecture through the release that ships them, and define what "done" means when completion criteria are still being established. Partner with the TPMs who own individual capabilities. Set a consistent bar for how their programs are planned and reported, and unblock what the

We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing Perception team is searching for an Engineering Manager for the Perception Occupancy and Rare Events team. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI teams including Simulation, Sensor and Hardware, and Systems Design and Mission Assurance teams to deliver an exceptional objects occupancy perception system encompassing modalities such as vision, lidar, radar and long-wave IR. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion. In this role, you will: Lead Technical Strategy: Build and lead a team of managers and engineers responsible for core occupancy modeling and rare event detection, driving the team’s roadmap, productivity, and execution. Drive Model Evolution: Own the development and deployment of critical perception models, overseeing the consolidation of multi-modal architectures and guiding technical design to enhance detection range, rob