Waymo

You'll develop and deploy state-of-the-art machine learning solutions for Waymo's autonomous driving system, transforming massive driving data into **robust deep neural networks**. You'll tackle real-world ML and engineering challenges, designing models that **navigate complex environments safely and efficiently**. This role spans the full stack from data to deployment on production vehicles.

You'll support strategic real estate decisions across a dynamic client portfolio, blending data analysis and stakeholder engagement. You'll drive operational excellence and portfolio strategy through **data-driven insights** and **business case development**. This hybrid role offers exposure to **autonomous driving industry** and cross-functional collaboration.

You'll join Waymo's **Data Science team** to build reporting infrastructure that drives decisions on **driving quality, safety, and reliability**. Your work will directly inform key aspects of autonomous driving development. This role offers a chance to impact a pioneering self-driving technology company.

You'll **drive Waymo's autonomous ride-hail service launch and expansion in London** as a key member of the product management team. Your work will directly impact millions by making self-driving technology accessible in the UK. This role offers a chance to **shape the go-to-market strategy** for a world-leading autonomous vehicle company.

You'll design, develop, and deploy SQL-based query APIs for analyzing Waymo Driver metrics. Your work directly impacts the evaluation of autonomous driving systems at **10 million+ rider-only trips**. You'll collaborate with cross-functional teams to shape data infrastructure for simulation, planning, and perception.

You'll architect **simulation orchestration solutions** for **Waymo's autonomous driving technology**, designing systems that dynamically configure simulator features. Your work will directly enable safer autonomous driving in new geographies and complex weather conditions. This role offers the chance to solve **large-scale engineering challenges** in a rapidly evolving field.

You'll lead **federal policy communications** for Waymo's autonomous driving technology, working at the intersection of **media relations** and **regulatory affairs**. Your work will shape public understanding and acceptance of life-saving autonomous driving technology.

You'll develop and deploy features for **next-generation weather systems** at Waymo, contributing to scalable data pipelines and real-time applications. Your work will directly impact **safe fleet operations** in diverse weather environments. This role offers the chance to work on **autonomous driving technology** that has already completed millions of miles.

You'll define the 2-3 year data vision for Waymo's Perception org, architecting automated flywheels that transform millions of miles of driving data into high-quality training sets. You'll solve **impossible data problems** like active learning loops for long-tail events. This role bridges **Machine Learning, Infrastructure, and Evaluation** to enable foundation models.

You'll join the ML Infrastructure team at Waymo to **deploy Agentic Workflows** that automate ML processes, integrating agentic AI into existing tooling. You'll **collaborate with ML Engineers** to identify workflow challenges and deliver solutions through UX and automation, accelerating the development of self-driving technology.

You'll join Waymo's London team to optimize rider demand and fleet operations in a hybrid role. You'll **manage fleet staging** and **pickup/drop-off performance** to ensure compliance with local regulations. This role offers the chance to shape autonomous mobility in a complex urban environment.

You'll build state-of-the-art labeling infrastructure for **autonomous driving ML pipelines** at Waymo. Your work will directly enhance the **Waymo Driver** by improving data flywheel efficiency through automation and monitoring. This hybrid role offers impact on **production-labeled datasets** at scale.

You'll **own Waymo-wide marketing spend forecasting** as a strategic advisor to the Marketing team, providing financial rigor for brand and growth investments. Your insights will **drive down customer acquisition costs** while increasing lifetime value. This role offers **high visibility to senior leadership** and the chance to shape commercial outcomes at a pioneering autonomous driving company.

You'll develop and manage contract manufacturers to build Waymo's self-driving modules, leveraging strong supplier relationships. Your core impact is driving cost strategy, negotiation, and risk mitigation to scale from development to high-volume production. This hybrid role offers the chance to shape the supply chain for the world's leading autonomous driving technology.

You'll develop software systems that accelerate onboard release qualification and improve developer velocity on **autonomous driving platforms**. You'll work across front end and back end technologies, perform SRE duties, and dig into test platform details. This role offers the chance to **impact safety-critical systems** at a leading self-driving car company.

You'll join the ML Ops team to build and maintain critical data and ML pipelines powering Waymo's autonomous driving development. You will develop **inference platforms** for scalability and low latency, working closely with teams across Waymo. This role offers the chance to impact **large ML models** including LLMs in a hybrid setting.

You'll design and deploy core C++ APIs for Waymo's onboard software stack. You'll **optimize code lifecycle across car and simulation environments** and collaborate with teams to **accelerate development velocity**.

You'll lead a new team focused on **Field Response infrastructure** to enable Waymo's rapid expansion. Your core impact will be owning the strategy and roadmap for **Mapping change detection** and building **backend infrastructure** for low-latency fleet responses.

You'll design, deploy, and maintain network infrastructure supporting Waymo's autonomous fleet operations. You'll ensure high availability and performance for critical business systems. This hybrid role offers impact on cutting-edge autonomous driving technology.

You'll lead the ML Evaluation team for Waymo's Predictive Planning group, defining strategic vision for evaluation platforms and scaling critical infrastructure. You'll partner with modeling teams to rigorously validate next-generation deep neural networks and accelerate ML developer velocity. This role offers the chance to influence foundational infrastructure and mentor a focused team at the forefront of autonomous driving technology.

You'll champion **field quality initiatives** for Waymo's autonomous driving technology, collaborating with cross-functional teams to enhance product reliability. You'll analyze fleet data to identify trends, lead root cause analysis, and develop scalable processes.

You'll develop subject matter expertise in mapping operations and serve as a go-to point of contact for cross-functional stakeholders. You'll **test and roll out new mapping tools** and **identify efficiency improvements** to scale operations. This role sits at the intersection of autonomous driving, data operations, and quality assurance.

You'll perform **DFMEA** and **FTA** to identify hardware reliability risks and lead failure analysis for an autonomous driving company. Your core impact is ensuring the **reliability of sensors and electronics** powering Waymo's self-driving technology.

You'll lead a team of Product Data Scientists at Waymo, setting the vision for fleet optimization and orchestration. Your work will directly impact the safe scaling of autonomous driving operations. This role offers the chance to shape data-driven decisions across engineering, product, and operations.

You'll drive the automation of hardware lifecycle for sensors and compute modules at Waymo. You'll develop and deploy agentic systems and foundation models to streamline workflows, translating real-world operational needs into robust, production solutions. **This role bridges robotics and machine learning** to generalize complex depot operations.

You'll serve as the strategic advisor for **Waymo's global immigration program**, managing complex cases and **building scalable policies** for a world-class autonomous driving company. Your work will **directly shape the mobility experience** for international talent across the organization.

You'll own end-to-end planning and delivery of network build outs across Waymo sites, offices, and data centers. Your work will directly enable the commercialization and operational resilience of autonomous driving technology. This role stands out for its impact on **mission-critical network infrastructure** supporting **autonomous fleet operations** at a **pioneering self-driving company**.

You'll join Waymo's Planner Evaluation team to **build ML data infrastructure** for autonomous driving. You'll design tools to process massive driving and simulation datasets, **enabling data-driven improvements** to the Waymo Driver. This role offers **hybrid work** in Mountain View or San Francisco.

You'll develop signals to measure driving performance using **statistics and machine learning**, and use **simulation and real-world data** to improve the Waymo Driver. Your work will directly impact **autonomous vehicle safety and reliability**.

You'll develop **signals to measure** the Waymo Driver's performance using statistics, ML, and simulation. You'll analyze **real-world driving logs** and onboard software changes to drive decision making. This role combines **data engineering and data science** in autonomous driving.

You'll build, lead, and inspire a cross-functional engineering squad focused on driving sustainable rider growth for **Waymo's autonomous ride-hail service**. You'll own the technical strategy for rider onboarding, retention, and dynamic promotions, **scaling backend systems and ML-driven promotional engines**. This role offers the chance to shape the future of driverless mobility at a **pioneering autonomous driving company**.

You'll lead the global build-out of service centers, EV charging facilities, offices, and labs for an autonomous driving company, managing a multi-year CapEx budget and a high-performing team. Your work ensures that projects are delivered consistently, on budget, and aligned with business growth. This role offers the chance to **shape processes** and **drive value engineering** across a fast-paced, innovative environment.

You'll **improve runtime efficiency of input data pipelines** for large-scale ML training at **Waymo**, an autonomous driving leader. Your work will directly accelerate model development for Perception and Planning systems. This role offers a unique chance to solve ML infrastructure challenges at the intersection of research and production.

You'll own the technology footprint for supply chain systems at **Waymo**, defining the strategic roadmap and implementing solutions on **SAP S/4HANA**. Your work will directly impact the commercial operation of autonomous vehicles.

You'll lead operational continuity and service quality for Waymo's autonomous ride-hail fleet, serving as the primary interface between market teams and centralized functions. Your insights will drive process optimization and safety standards. This hybrid role reports to the Head of Ride Hail Operations at the forefront of autonomous driving.

You'll develop **low-level embedded software** for autonomous vehicle hardware at **Waymo**. This role involves designing board-level telemetry and debugging with tools like JTAG and oscilloscopes. You'll collaborate across teams to integrate hardware into a production fleet.

You'll own the end-to-end ML dataset lifecycle at Waymo, driving cross-functional programs that deliver high-quality training data. Your core impact is **turning ambiguous data needs into scalable solutions** for the autonomous driving fleet. This role offers the chance to **shape the data pipeline for the world's most experienced driver**.

You'll serve as the operational backbone for machine learning initiatives at Waymo, orchestrating **end-to-end data lifecycle** from requirements to scaling pipelines. Your impact ensures **high-quality data delivery** that powers autonomous driving models. This role offers a chance to solve ambiguous challenges at the intersection of **data, engineering, and product**.

You'll join Waymo's London Simulator team to **build ultra-realistic autonomous vehicle simulations** using **large foundation models**. Your work will directly improve the fidelity and steerability of simulations for testing the Waymo Driver. Collaborate with top research engineers in Oxford and Mountain View to **productionize cutting-edge ML research**.

You'll provide system requirements and feedback for **autonomous driving behaviors** at Waymo, working across software and hardware teams to ensure safety and performance. Your work will directly impact **the reliability of the Waymo Driver** powering millions of rider-only trips. This hybrid role offers the chance to shape the future of **self-driving technology**.

You'll develop **sensor-fusion foundation models** for the Waymo Driver, enabling real-time spatial understanding. Your work will solve **large-scale multi-stage training** with millions of miles of driving data. This role offers collaboration with **Alphabet research teams** and impact on autonomous driving at scale.

You'll **architect the machine learning flywheel** for **Waymo's autonomous driving** technology. Your work will directly **improve Driver safety and capabilities** through automated data-driven self-improvement loops. This role offers **high visibility** with direct reporting to a Distinguished Engineer.

You'll lead engineering analysis and response to novel events encountered by Waymo's autonomous fleet. You'll **harden software** and **improve oncall metrics** while contributing to onboard architecture. This role blends software engineering with SRE for a **distributed fleet of autonomous vehicles**.

You'll lead **post-training technology roadmaps** for Waymo's **autonomous driving perception models**, driving rapid prototyping and production rollout. Focus on **RL and SFT techniques** to solve complex behavior contexts.

You'll design and build training systems for Waymo's Fleet Response Operators to accelerate safe autonomous driving deployment. You'll work with operations leads to understand evolving training needs and leverage simulation platforms to create realistic environments. **World-class training** requires **world-class systems** that enable peak human performance.

You'll command **real-time network oversight** for Waymo's autonomous fleet, serving as the on-shift operational authority during incidents and safety-critical events. Your core impact is ensuring **operational resilience** as the business expands across vehicles, miles, and markets. You'll bridge **technical workstreams** and crisis communications to accelerate resolution.

You'll **architect a unified AI platform** leveraging Google DeepMind's foundation models to accelerate Waymo's autonomous driving capabilities. Your work will **drive cross-team technical direction** for large-scale ML systems. This role offers **direct impact on the world's most experienced driver**.

You'll help build and evolve mission-critical commercialization tools for **Waymo's autonomous ride-hail service**. Your work will directly improve fleet management and workflow optimization systems. This hybrid role offers the chance to solve hard real-world problems at the forefront of **autonomous driving technology**.

You'll work on a world-class research engineering team to grow the state-of-the-art of **ultra realistic AV simulations** using foundation models. You'll collaborate with teams in Waymo Oxford to **use large models to improve sim realism** and design experiments that push the frontiers of AV simulations. You'll help integrate these models into the simulator's downstream applications.

You'll **build mission-critical tools** for Waymo's **fleet orchestration and optimization systems**, helping scale the world's most experienced driver. Collaborate with product and UX to **solve real-world problems** in autonomous ride-hailing.

You'll lead the development of **advanced AI/ML infrastructure** for **multi-billion parameter foundation models** in simulation, collaborating with Google DeepMind and Waymo teams to drive **ultra-realistic multi-agent simulations** for autonomous driving.

You'll join a world-class research engineering team to advance **ultra-realistic AV simulations** using **foundation models**. Your work will directly improve the safety and reliability of the Waymo Driver through **innovative experiment design and metrics development**.

You'll **own infotainment hardware delivery** from concept to car at Waymo, defining the **product roadmap** and **technical vision** in partnership with cross-functional teams. Your core impact will be driving complex make vs. buy decisions and leading bring-up, validation, and manufacturing for world-class in-vehicle experiences.

You'll **own vehicle security requirements** for Waymo's autonomous driving platform, working with OEMs to define **network and module security architecture**. Your work ensures secure communication between Waymo's software and vehicle platforms, directly impacting the safety of millions of autonomous miles.

You'll join Waymo's Simulation ML Infrastructure team to build **scalable AI/ML infrastructure** for multi-billion parameter foundation models. You'll drive the development of **ultra-realistic multi-agent simulations** using foundation models to accelerate autonomous driving. Your work will directly impact the fidelity and steerability of simulations used to train the **Waymo Driver**.

You'll build **mission-critical tools** for Waymo's autonomous fleet management, enhancing mobile apps and backend systems. Your work will **scale real-time fleet data collection** and support expansion into new markets. You'll collaborate with Product and UX to **design internal user-facing products**.

You'll develop **machine learning solutions** for **autonomous driving perception** at Waymo, using Multimodal LLMs for 3D detection and designing evaluation frameworks. Your work will contribute to safely scaling operations across dozens of cities.

You'll own the **full recruiting life-cycle** for **AI/ML engineering roles** at Waymo, an autonomous driving leader. Your core impact is building equitable hiring systems that attract top talent. You'll partner closely with senior engineering leadership and shape hiring strategies for cutting-edge robotics and ML teams.

You'll set global EHS strategy for Waymo, leading **digital transformation** of safety management systems and mentoring a team. Your work ensures **innovative risk management** across autonomous driving operations.

You'll lead a team building Waymo's **distributed simulation engine** that validates autonomous driving software at massive scale. Your impact includes **driving scheduler throughput** and **establishing engineering best practices** for a world-class autonomy stack.

You'll join Waymo's Perception Multi-Platform Team to **bring up perception software on new hardware platforms** and **abstract away sensor differences** to make the stack portable. Your work directly improves the Waymo Driver's ability to perceive the world, **enabling safer autonomous rides** at scale.

You'll partner with engineering to deploy **ML and Gen-AI models** for issue detection and triage efficiency. Your insights directly improve **safety and reliability** of the Waymo Driver. This role is critical as Waymo expands into **20+ new cities by 2026**.

You'll own the C++ server infrastructure for Waymo's **Webviz platform**, building concurrent data streaming pipelines that power visual debugging and telemetry for autonomous driving. Your work will **optimize latency and throughput** of 4D time-series data, enabling engineers to analyze fleet logs at scale.

You'll help build and evolve mission-critical infrastructure for Waymo's ride-hailing and fleet management systems. You will collaborate across teams to solve complex problems like world simulation for autonomous vehicle software testing. **This hybrid role** reports to an Engineering Manager and offers a chance to **work on cutting-edge autonomous driving** technology.

You'll lead the **Enterprise Outsourcing Services** vertical at Waymo, designing the workforce architecture that powers the autonomous driving fleet. Your core impact will be managing a **$100M+ portfolio** and shifting from transactional vendor use to strategic capability building. This senior leadership role offers the chance to shape the **Future of Work** at a cutting-edge autonomous driving company.

You'll **develop measurement approaches** to characterize perception system performance for Waymo's autonomous vehicles. Your work will **validate analysis methodologies** and **integrate metrics** on fleet-wide data to ensure safety. This role offers direct impact on a world-leading self-driving platform.

You'll work cross-functionally to guide **Waymo's market expansion** by building models for **territory sizing and vehicle allocation**. Your impact will directly shape how the company scales its **autonomous ride-hail service** safely and efficiently.

You'll **build mission-critical tools** for Waymo's ride-hailing and fleet management systems, collaborating across mobile, cloud, and autonomous driving teams. Your work directly impacts the safety and scalability of **fully autonomous operations**. You'll also leverage **AI tools** to accelerate development.

You'll build mission-critical **commercialization tools** for Waymo's core ride-hailing and fleet management systems, collaborating across Product, UX, and engineering teams. You'll develop user-facing products for external and internal use, leveraging **full-stack development** skills and AI tools to improve autonomous mobility infrastructure. This hybrid role offers impact on **cutting-edge transportation technology**.

You'll craft **requirements for autonomous driving behaviors** at Waymo, collaborating with cross-functional teams to ensure safety and regulatory alignment. Your insights will directly influence **system design decisions** through data-driven metrics and documentation. Join a team that has provided over ten million rider-only trips.

You'll **define OEM requirements architecture** for self-driving vehicle body control systems at Waymo. Your work will directly enable the **fully autonomous Waymo Driver** to operate safely and reliably. You'll bridge engineering teams and external partners to deliver key features.

You'll partner with Engineering to design and deploy **AI/ML models** and tools to improve issue detection and triage efficiency. You'll proactively identify on-road trends using **data-driven strategies** and serve as the key link between AI development and operational execution. This role places you at the heart of Waymo's rapid expansion into new cities.

You'll partner with Engineering to design and deploy **ML and Gen-AI models** to improve issue detection and quality assurance for the **Waymo Driver**. Your work directly ensures the safety and scalability of autonomous vehicles. This role is critical to Waymo's expansion into new cities and vehicle platforms.

You'll **design and optimize large-scale continual pre-training pipelines** for cutting-edge VLM foundation models at Waymo. You'll **conduct research on novel pre-training techniques** integrating diverse multimodal data streams. This role offers **access to millions of miles of driving data** and collaboration with Alphabet research teams.

You'll own ML tasks for Waymo's autonomous driving perception system, developing methods to scale and improve task performance. You'll analyze real-world behavior, identify issues, and build AI-aided debugging tools. This role offers access to **millions of miles of driving data** and collaboration with **Alphabet research teams**.

You'll **build mission-critical infrastructure** for Waymo's autonomous fleet, **collaborate across teams** to scale commercialization systems, and **solve real-world problems** like simulation for autonomous vehicle services.

You'll join Waymo's Engineering Operations team to ensure **software quality** for the **Waymo Driver** autonomous system. Your core impact involves optimizing testing workflows and supporting quality metrics. This role stands out with exposure to cutting-edge autonomous driving technology.

You'll drive **compensation strategy** at **Waymo** as part of the People team, ensuring competitive and equitable pay. You'll analyze **compensation data**, build models, and collaborate with recruiting to influence hiring offers. This hybrid role offers hands-on impact on talent retention and autonomous driving innovation.

You'll work on **autonomous driving behavior** ensuring the Waymo Driver is safe, smooth, and predictable. You'll frame **real-world driving problems** into engineering challenges and build **scalable data pipelines**. This hybrid role sits at the intersection of robotics, ML, and systems engineering.

You'll act as a subject matter expert on **Quality Training** for Waymo's vendor teams, analyzing QA data to identify trends and drive improvements. You'll partner cross-functionally with Program Managers to **design training interventions** that enhance operational quality. This role offers the chance to shape training programs for the **world's most experienced driver**.

You'll develop high-quality **C++ software systems** for autonomous vehicle functions at **Waymo**, the self-driving technology company. Your work will directly impact scaling to more vehicles and cities. You'll analyze field data and simulation results, collaborating across hardware and software teams.

You'll act as a subject matter expert on **Quality Training** for Waymo's autonomous driving fleet, partnering with vendor teams to improve operational quality. You'll systematically analyze QA data to identify **performance gaps and root causes**, then own end-to-end solutions. This role offers the chance to shape training programs at a **leader in autonomous driving technology**.

You'll develop **state-of-the-art computer vision** and **multimodal models** for Waymo's autonomous driving perception system. Your work will directly **power the data engine** that enables safe scaling of the Waymo Driver across millions of miles.

You'll work on Waymo's Compute Team to design high-performance silicon for fully autonomous vehicles. You'll translate ML requirements into hardware features and **optimize power, area, and performance** of digital designs. This role offers the chance to impact **world-class autonomous driving technology**.

You'll conduct applied foundation model research to solve open problems in autonomous driving at **Waymo**. You'll design and train large deep learning models, present findings, and collaborate with Alphabet research teams. This role offers the chance to impact **real-world autonomous driving** at scale.

You'll lead **onboard software performance** for Waymo's autonomous driving system, ensuring computing resources meet strict latency and reliability targets. Your work will directly impact **vehicle safety and driving quality** while enabling scaling to more complex environments. This role combines hands-on architecture design with team leadership.

You'll **define system architecture and verification strategies** for depot automation features at Waymo, working cross-functionally to ensure high efficacy. Your **data-driven debugging** will resolve field issues and improve test coverage. This role offers the chance to **extend features across vehicle platforms** in a fast-paced autonomous driving environment.

You'll **review and triage claims** against Waymo, an autonomous driving leader, working on **emerging risk strategies** for transformational technology. Your oversight ensures **claims are handled within SLAs** while protecting the company and supporting riders.

You'll collaborate with Design, Verification, and Software teams to simulate future silicon designs on an **emulation platform**, targeting functional and performance validation. Your core impact is enabling **left-shift of software development** and assisting with post-silicon bring-up. This role offers the opportunity to work on one of the world's highest performance automotive compute platforms.

You'll **bridge simulation software capabilities** with real-world execution on the **Scenario Operations team** at Waymo, ensuring safe scaling of autonomous driving. Your core impact is **integrating AI-driven automation** with human-in-the-loop precision to validate driver performance across new cities and platforms. This role stands out for its direct influence on **rapid-response testing** for emergent issues.

You'll pioneer **deep learning systems** and **generative vision paradigms** to measure realism in autonomous driving simulation. Your work will directly define **the state of the art** for autonomous simulation and steer Waymo's research trajectory.

You'll **research and develop state-of-the-art Multimodal LLMs and World models** for 3D perception using camera, LiDAR, and radar data at Waymo. Your work will **integrate emerging AI research** into scalable sensor understanding models and evaluation frameworks. This role offers the chance to **publish findings** and shape the future of autonomous driving.

You'll conduct applied foundation model research and development for **autonomous driving simulation** at **Waymo**'s Applied Research team. You will design compelling experiments by training and evaluating large deep learning models, presenting results to peers and leadership. The role offers the chance to collaborate across Alphabet research teams.

You'll design high-performance ML microarchitectures for Waymo's autonomous driving compute platform. Your work will translate algorithm requirements into hardware features, directly impacting the safety and performance of the Waymo Driver. You'll collaborate with a multidisciplinary team on cutting-edge custom silicon.

You'll join Waymo's **SWQOps** team to ensure the safety and reliability of the **Waymo Driver** through simulation-based testing. You'll bridge simulation capabilities with real-world execution, enabling safe scaling across new cities.

You'll design and maintain **high-quality documentation** for Waymo's internal engineering and product teams, focusing on **API references and safety-critical content**. You'll coordinate across teams to ensure clarity and compliance while establishing **enterprise-grade documentation standards**.

You'll guide technical development for Waymo's Compliance and Readiness team, building data pipelines and ML models to detect and prevent events like lost items. Your work will directly enhance rider safety and experience in autonomous vehicles. This role offers the chance to shape AI solutions on **Google Cloud infrastructure** with **cutting-edge ML techniques**.

You'll build and evolve mission-critical infrastructure for Waymo's autonomous ride-hail and fleet management systems, collaborating across teams to solve **real-world problems** and scale systems for commercial expansion. Your work will directly impact the safety and reliability of **driverless technology**.

You'll direct operational rhythm of maintenance partners and drive performance accountability for a **leading autonomous driving fleet**. Your core impact is optimizing fleet readiness through vendor management and continuous improvement. You'll shape the operational backbone of **Waymo's autonomous ride-hail service**.

You'll serve as the primary point of contact between Waymo and **automotive supplier partners**, coordinating technical discussions and contract negotiations. You'll manage program schedules, track milestones, and deliver progress reports to ensure **on-time delivery** of hardware products. This role offers the chance to drive quality in autonomous driving technology at a **leader in self-driving**.

You'll **manage real estate projects** to deliver critical infrastructure for Waymo's autonomous driving operations. Your core impact is developing market strategies and negotiating complex transactions to support depot and charging site expansion. This role involves **40-60% travel** for site searches.

You'll join a small team developing low-level system software for Waymo's autonomous vehicle compute platform. You'll **build Linux kernel drivers** and **embedded system components** from prototype to production. This role offers direct impact on self-driving technology at a leading company.

You'll join Waymo's Strategic SWE Reserve, a versatile task force that bridges gaps across critical scaling efforts. You'll work across the entire stack—from onboard software to offboard infrastructure—to fix bottlenecks and unblock high-priority goals. This role offers the broadest possible view of how we build and scale **the World's Most Experienced Driver**.

You'll design and build scalable simulation infrastructure for Waymo's autonomous driving stack. Your work directly impacts the safety and reliability of the Waymo Driver through massive-scale simulation testing. This role offers the chance to tackle **complex distributed systems challenges** at the **forefront of autonomous vehicle technology**.

You'll act as the primary technical expert for **autonomous fleet operations**, providing real-time support to resolve complex vehicle issues. You'll collaborate with Waymo Engineering and OEM partners to **diagnose SDS-Ready faults** and ensure minimal downtime. This onsite role offers the chance to **influence preventive maintenance practices** across a cutting-edge autonomous driving fleet.

You'll collaborate with Design, Verification, and Software teams to simulate future silicon designs on an emulation platform, targeting functional and performance validation and left-shift of software development. You will build infrastructure and triage failures alongside users, using **emulation testbenches** and **synthesizable transactors**. This role offers the chance to work on one of the world's highest performance automotive compute platforms.

You'll lead **campaign planning and execution** for autonomous vehicle fleet operations, driving cross-functional coordination to ensure **timely, high-quality deployments**. You'll build scalable playbooks and processes that enable **global rollout success** for the Waymo Driver.

You'll serve as the primary architect for **investigative workflows** at Waymo, ensuring every case moves with precision from intake to resolution, bridging gap between operations and tool performance while **leading cases during high volume**.

You'll lead **fleet readiness** for Waymo's autonomous vehicle operations in Los Angeles. Your core impact is maximizing **mission-capable uptime** through data-driven maintenance strategies. This role bridges hardware engineering and field ops in a high-stakes environment.

You'll develop **importance sampling techniques** to improve the statistical efficiency of autonomous driving evaluation pipelines at Waymo. You'll find signals in logs and simulations to **discover rare events** more effectively, and build systems that optimize multiple objectives under resource constraints. This role offers direct impact on the safety of self-driving technology.

You'll lead a software engineering team building **data pipeline, storage, and query infrastructure** for Waymo's autonomous driving technology. Your work will directly impact the **scalability and reliability** of systems processing massive amounts of data. This role combines hands-on technical leadership with team mentorship.

You'll **drive integration of safety case claims** related to design and software development practices, ensuring compliance with international regulations. Your work will directly **shape Waymo's autonomous driving safety strategy** across multiple vehicle platforms. This role offers the chance to **influence industry standards** in a cutting-edge AI safety domain.

You'll join Waymo's SRE team to build and run large-scale, fault-tolerant systems for **autonomous vehicle operations**. Your core impact will be ensuring reliable fleet services and infrastructure for our fully autonomous ride-hail service. You'll work on **mission-critical systems** that directly affect vehicle availability and safety. This role follows a hybrid work schedule.

You'll build and scale the core economic engine for Waymo's ride-hailing services and **develop experimentation and simulation infrastructure** that supports **Marketplace product data science**.

You'll join Waymo's Perception team to work on **3D spatial reasoning** and **multi-modal sensor fusion** for autonomous driving. You'll apply ML and geometric algorithms to low-level perception tasks, developing scalable training recipes on Alphabet's compute infrastructure. This role offers access to millions of miles of real-world driving data and the chance to publish research.

You'll lead a team building **large-scale foundation models** for autonomous driving at **Waymo**, an Alphabet company. Your team's work powers the Waymo Driver across onboard and offboard applications. You'll set technical direction, foster inclusive culture, and collaborate with cross-functional teams to advance self-driving technology.

You'll mine and analyze **large-scale datasets** to evaluate driving scenarios and support **onboard release deployment**. Partner with cross-functional teams to identify product performance measures and build **foundational data pipelines**.

You'll design and build core Android frameworks for Waymo's autonomous ride-hail service. Your work will directly impact the passenger experience in autonomous vehicles. This role offers the chance to shape foundational components used by multiple feature teams.

You'll manage leasing, fixed assets, and insurance accounting for **Waymo's autonomous driving division**. Your core impact includes designing operational processes and resolving complex technical accounting issues. This role offers **hybrid work** and exposure to cutting-edge autonomous vehicle finance.

You'll join Waymo's Risk Insurance Team, working on emerging risk and claims for autonomous driving technology. You'll shape strategies and processes to handle unique auto claims, ensuring rider safety and company protection. This role offers a chance to pioneer insurance in the self-driving space within a supportive hybrid team.

You'll **architect the long-term vision** for Waymo's involvement in Sports, Finance, and Hospitality sectors, securing cornerstone partners that position Waymo as a premium utility. You'll drive **end-to-end deal negotiations** for multi-year agreements and lead integrated go-to-market activations. This role offers the chance to shape societal acceptance of autonomous driving technology.

You'll develop **ML-powered prediction and planning systems** for Waymo's autonomous vehicles, transforming driving data into robust deep neural networks. Your work will directly enhance the **safety and efficiency** of the Waymo Driver. You'll collaborate with world-class researchers to apply cutting-edge techniques like **foundation models and reinforcement learning**.

You'll join the Perception team at **Waymo** to build the system that perceives the autonomous vehicle's surroundings. You'll develop **spatial-temporal representations** using multi-modal sensor data to improve object detection and tracking. This role offers access to **millions of miles of driving data** and Alphabet's compute infrastructure.

You'll **own the onboard infrastructure** for a **100-person organization** improving the Waymo Driver. You will evolve the onboard architecture and enable high-efficiency workflows across the development cycle, directly impacting Waymo's expansion to more cities.

You'll lead the bring-up and deployment of **new Waymo platforms** across program phases, working with engineering and cross-functional teams for fast feedback and issue resolution. Your work ensures **large-scale deployment readiness** for next-generation autonomous systems. This role offers a chance to **shape the future of autonomous mobility** at a pioneering company.

You'll **transition low-level perception tasks** from algorithms to machine learning on Waymo's **Sensor Foundations Team**. Your work will directly enable **safer autonomous driving** at scale.

You'll architect and train large-scale onboard ML perception models for **autonomous driving**. Your work will directly improve vehicle safety and regulatory compliance. You'll collaborate cross-functionally to engineer robust training pipelines in a **dynamic delivery environment**.

You'll **design and optimize Angular applications** for Waymo's fleet management workshop software, enabling **scalable vehicle maintenance operations**. Collaborate cross-functionally to **build mission-critical tools** that power the world's most trusted driver.

You'll work on **state-of-the-art Foundation Models** used throughout Waymo's autonomous driving systems, building evaluation systems and benchmarks for embodied AI agents. Your work will drive the **end-to-end evaluation life-cycle** from pre-training to reinforcement learning. You'll partner with cross-functional teams to **land innovative tech in production**.

You'll design and implement reliability tooling **software infrastructure** for Waymo's autonomous vehicle fleet. Collaborate with cross-functional teams to build **software tools** that provide insights on fleet reliability. You'll document tooling for users from executives to engineers, while working with **C++ and Python** in a hybrid environment.

You'll lead **full industrial design processes** for autonomous driving hardware at **Waymo**, shaping the future of mobility. Your core impact is bringing concepts from initial research to production with cross-functional teams. This role pioneers a new industry with a hybrid schedule.

You'll drive innovation in **ultra-realistic world simulation** for autonomous vehicles at Waymo, developing the latest simulation technologies using **foundation models for embodied agents**. Your work will push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.

You'll develop metrics and models to evaluate and enhance the performance, safety, and scalability of **Waymo's autonomous driving system**. You'll find new ways to gather data and deploy solutions across the fleet, directly impacting **real-world autonomous vehicle behavior**. This role blends software engineering with systems thinking in a cutting-edge AV environment.

You'll **drive vehicle manufacturing planning** for Waymo's autonomous driving fleet, ensuring **prototype-to-production execution**. You'll serve as the **technical lead for contract manufacturers**, traveling up to 20% domestically/internationally to support builds.

You'll perform **threat analysis and risk assessments (TARA)** for Waymo's autonomous driving systems. Your work will directly shape the security architecture of **self-driving platform features**. This role collaborates closely with engineering and safety teams throughout the product lifecycle.

You'll work on **Android applications** for rider-AV interaction at Waymo, building pick-up/drop-off experiences and in-car infotainment. Your core impact is creating **trustworthy user interfaces** for autonomous vehicles. This hybrid role collaborates with cross-functional teams to solve novel HCI problems.

You'll own and scale ML tasks for Waymo's perception system, developing methods to learn from massive real-world driving data. Your work directly impacts the safety and performance of the world's most experienced driver. You'll collaborate with top researchers at Alphabet and advance state-of-the-art in autonomous driving.

You'll design and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models at Waymo. Your core impact will be advancing **autonomous driving perception** through novel pre-training techniques on multimodal data. This role offers access to **millions of miles** of real-world driving data and collaboration with Alphabet research teams.

You'll **design, develop, and maintain C++ software systems** for real-world event and incident response at Waymo, an autonomous driving leader. Your work will **build mission-critical tools to scale operations** across new markets. Collaborate with cross-functional teams to **ship solutions to novel problems** in a fast-paced environment.

You'll join Waymo's Compute Team to **design and implement compiler optimizations** for autonomous vehicle compute platforms, working on **high-performance custom silicon and neural network inference**. Your work will directly impact the performance of the Waymo Driver, powering over ten million rider-only trips.

You'll **architect the backbone of onboard software integrity** for Waymo's autonomous driving technology, building infrastructure and tooling to ensure reliable computation. You'll **drive cross-team collaboration** to streamline integrity workflows and enable safe, high-velocity development.

You'll join the Simulator team building **state-of-the-art simulations** for autonomous vehicles, using **foundation models** trained on massive datasets. Your work will directly improve the realism and steerability of simulations that test the Waymo Driver, **pushing the frontiers of AV safety**.

You'll build the customer-facing **web applications** that serve as the command center for enterprise partners managing autonomous fleets. Your work will define how businesses interact with the future of transportation. This role offers the chance to shape a **high-scale B2B platform** from the ground up.

You'll optimize FLOPs utilization and model inference for **autonomous driving perception** on the **Waymo Driver** team. Your work will directly impact the safety and efficiency of self-driving vehicles at scale.

You'll develop signals to measure the driving quality of Waymo's autonomous driver using statistics, ML, and simulation. Your work will directly improve how we evaluate changes to the onboard software stack. This role offers a chance to shape the metrics that guide decision-making for the world's most experienced driver.

You'll join a world-class applied ML team advancing **ultra-realistic AV simulations** using **Generative AI technologies**. You'll manage the full lifecycle of product innovations, from prototyping to production, scaling simulation and data processing systems.

You'll lead real-time monitoring and incident response for Waymo's global security operations. Your core focus is maintaining **situational awareness** and managing **security events** as the primary point of contact during crises. This role offers the chance to work with **autonomous driving technology** in a 24/7 operations center.

You'll design and deploy **state-of-the-art generative models** for autonomous vehicle planning and prediction at Waymo. You'll translate **real-world driving challenges** into ML problems and publish findings at top-tier conferences. This role offers the chance to impact **millions of autonomous miles driven** and contribute to the world's most experienced driver.

You'll develop core training systems for **large-scale reinforcement learning** at **Waymo**, an autonomous driving leader. You'll collaborate with research and production teams to improve models deployed in the Waymo Driver. This role offers work on cutting-edge ML systems for **autonomous driving**.

You'll innovate ultra-realistic world simulation for autonomous vehicles using foundation models and generative AI. Your work will directly influence the advancement of autonomous driving technology by developing scalable ML systems and collaborating with Waymo's foundational AI research team.

You'll **design and implement core authoring APIs** for the Eval Authoring APIs team at Waymo, enabling evaluation engineers to manage workflows at scale. Collaborating cross-functionally, you'll translate ambiguous requirements into **clean, well-documented API contracts**. Your work directly supports **autonomous driving evaluation safety and quality** across new cities and countries.

You'll develop **high-performance GPU primitives** for Waymo's autonomous vehicle compute platform, collaborating with the internal hardware team on SoC projects. You'll ensure **correctness and performance** of the onboard GPU stack, and create **profiler and debugger tools** for new GPU platforms.

You'll join the AI Foundations team at Waymo to develop ML solutions for autonomous driving. You'll lead end-to-end evaluation systems for **Foundation Models**, ensuring quality, safety, and realism of embodied AI agents. This role offers the chance to impact Waymo's autonomous fleet across multiple cities.

You'll join the Simulator Evaluation team at Waymo, building metrics and systems to validate the realism of our autonomous driving simulator. You will architect the "Yardstick of Reality" to ensure hybrid simulated worlds—combining deterministic logic, physics, and generative AI—provide a trustworthy representation of reality. This role sits at the intersection of software engineering and AI, enabling rapid innovation across the company.

You'll design and build **C++ simulation infrastructure** for Waymo's autonomous driving stack. Your work will directly impact **millions of virtual miles** driven daily, ensuring safety and reliability. This role offers the chance to **shape next-gen simulation products** at a leader in autonomous mobility.

You'll lead **post-training for LLMs** in autonomous driving at **Waymo**, advancing frontier AI models. You'll develop methods for instruction following and CoT reasoning, directly impacting self-driving technology.

You'll drive the effective utilization of simulation compute resources at Waymo, partnering with engineering and product management. Your core impact will be **balancing complex trade-offs** and communicating decisions to senior leaders and the C-team. This role offers the chance to shape **autonomous driving simulation execution**.

You'll develop business logic software to improve the Waymo Driver's driving performance and safety as we expand to more cities. Your work will directly impact **autonomous driving behavior** and **scalable system architecture**. This role offers the chance to work on **cutting-edge ML models** in a hybrid setting.

You'll join the System Software Team to develop **production-grade system software** for the Telematics unit—the critical Linux-based gateway in autonomous vehicles. Your work will ensure **low-latency data flow**, real-time diagnostics, and **OTA updates** that enable Waymo's fleet to operate safely and improve continuously.

You'll lead the development of **a simulation-based virtual driver's test** for the Waymo Driver, discovering software faults like divide-by-0 or out-of-memory errors. Your work directly **improves system reliability** for autonomous driving at scale. This role blends software engineering with data science and ML to ensure fault discovery predicts real-world behavior.

You'll advance the Waymo Driver's capabilities to safely mitigate diverse fault conditions. You will develop comprehensive requirements and verification plans for mission-critical SW systems and features, ensuring appropriate coverage to meet product quality and safety goals. **This role offers the chance to work on cutting-edge autonomous driving technology** at a leading company.

You'll architect the **evaluation rubric** for simulation realism at Waymo, defining metrics that validate hybrid worlds blending deterministic logic and generative AI. You'll lead the design of **large-scale evaluation platforms** (C++/Python) to provide clear signals on petabytes of data. This role bridges **engineering and product strategy** to ensure simulation fidelity matures with onboard needs.

You'll design and implement **machine learning models** to improve pick-up/drop-off point selection and routing quality for **autonomous driving**. Your algorithms will directly impact safety, convenience, and user experience across Waymo's fleet. This role offers the opportunity to solve complex challenges at the intersection of AI and real-world mobility.

You'll own end-to-end lifecycle of **modular mechatronic subsystems** in autonomous vehicle service automation, architecting systems across diverse applications like cleaning, charging, and tire-service. Your work directly enables high-volume production of **custom robotic tooling** and **automated frameworks**.

You'll **lead a team of ML engineers** building sensor validation systems for Waymo's autonomous vehicles. Your core impact is ensuring sensors **reliably detect anomalies** and stay properly calibrated at all times. This hybrid role offers access to millions of miles of driving data and collaboration with Alphabet research teams.

You'll own a domain within scene understanding, such as traffic controls or construction zones, for **Waymo's autonomous driving system**. You'll drive technical roadmaps and **build resilient teams** to improve the Waymo Driver's perception capabilities. This role offers impact on **real-world autonomous vehicle technology**.

You'll drive the technical roadmap for **workshop management software** that plans and executes vehicle maintenance and uptime at **Waymo**. You'll collaborate across teams and lead high-impact projects. This role offers a unique opportunity to shape infrastructure for autonomous mobility at scale.

You'll coordinate **Verification and Validation** campaigns for autonomous vehicle platforms at Waymo. Your core impact is ensuring the safe performance of our self-driving technology through rigorous testing. This hybrid role offers the chance to shape **test automation strategy** across simulation and hardware-in-the-loop environments.

You'll lead backend infrastructure for Waymo's **autonomous driving evaluation**, building high-performance pipelines that bridge **simulation with real-world monitoring**. Your team's insights directly influence **safety and operational rollouts** of the Waymo Driver.

You'll define the vision and technical roadmap for **capacity planning** and **resource optimization** within Waymo's simulation environment. You'll build forecasting models and dashboards to drive **efficient use of large-scale compute resources**.

You'll **develop operational systems** to support standardized work and continuous improvement culture at Waymo. Your work will drive **process improvement initiatives** that reduce waste and positively impact key business metrics. This role is a key strategic thought partner in shaping the autonomous vehicle ecosystem.

You'll own verification and validation activities for **sensor (mainly radar) systems** supporting fully autonomous operations. You will design, execute, and debug automated tests across multiple platforms to ensure performance standards. This role offers the chance to work with a world-class team on **autonomous driving technology** that has already provided over ten million rider-only trips.

You'll join Waymo's new SCORPIO team, building data-driven capacity planning for **autonomous driving simulation infrastructure**. Your core impact will be developing quantitative models and production systems that optimize resource allocation across CPU, GPU, and TPU fleets. This role uniquely combines **mathematical optimization** with **large-scale systems engineering** to enable safe and rapid iteration of the Waymo Driver.

You'll **lead integration and bring-up** of novel self-driving vehicle systems at Waymo. You'll debug cross-functional issues spanning mechanical, electrical, and software domains. This hybrid role offers a chance to work on cutting-edge autonomous driving technology with a world-class team.

You'll **design and build global privacy systems** for Waymo's autonomous vehicles, bridging GDPR legal requirements with technical implementation. Your work will **enable safe deployment in European markets** through anonymization frameworks and consent management. You'll collaborate with Legal, Product, and AI/ML teams to embed **Privacy by Design** across sensor data and rider experience.

You'll drive **cross-functional execution** of onboard projects at Waymo, an autonomous driving leader. You'll **manage project schedules and risks** while collaborating with engineering and product teams. This role offers the chance to shape **autonomous vehicle deployment** across platforms and geographies.

You'll provide **technical leadership** for onboard motion planning systems that improve low-speed maneuvering performance. You'll improve evaluation capabilities and develop foundational frameworks for the Waymo Driver. This role offers the chance to solve challenging driving situations in the long tail.

You'll lead a team building **mission-critical simulation tools** for **autonomous vehicles**, solving real-world problems like fleet optimization and demand planning. Collaborate with US peers to evolve AI-driven UI for Waymo's core simulation systems.

You'll lead **optimization of large-scale ML models** for Waymo's autonomous driving stack, working at the intersection of data, model development, and low-latency deployment. Your core impact is driving efficient innovation for models with billions of parameters across multiple hardware platforms. This role combines technical leadership with mentorship and management of a ~10-person team.

You'll work on **autonomous driving technology** at Waymo, collaborating across teams to drive efforts to completion. You'll own technical roadmaps and product development lifecycle for a system that has provided over ten million rider-only trips. This role combines **staff-level engineering** with **people management**. Benefits include bonus, equity, and generous company programs.

You'll lead the architectural vision for Waymo's core data platforms, enabling data-driven decisions across autonomous driving. You'll drive metrics standardization and data governance for the Waymo Driver. **This role directly impacts safety and commercialization** of the world's most experienced driver.

You'll develop and deploy ML models that predict the world state and plan the **Waymo Driver's behavior**, working on **production autonomous vehicles**. Your models will navigate complex environments safely and efficiently, leveraging **Google's data infrastructure** to build robust deep neural networks.

You'll lead **real estate transactions** for Waymo's **EMEA infrastructure projects**, collaborating with cross-functional teams to source and negotiate industrial sites. Your work directly enables scaling autonomous ride-hail operations across new markets.

You'll design and manage end-to-end **buy-sell vehicle operations** at Waymo, an autonomous driving technology company. Your work will ensure seamless ownership transfers, invoicing, and fulfillment as the fleet expands. This role offers the chance to shape scalable processes for the future of mobility.

You'll lead as **Incident Commander** during cross-functional disruptions, orchestrating response efforts to ensure rider safety and fleet resilience. You'll drive **continuous improvement** through thorough incident retrospectives and integrate lessons learned back into processes. This role offers the chance to work with a **global team** at the forefront of autonomous driving technology.

You'll **own go-to-market plans** for **autonomous driving technology launches** at Waymo. Your work directly shapes market expansion and rider adoption. This role offers the chance to build societal acceptance for a transformative technology.

You'll lead a large proving ground for **autonomous driving testing**, ensuring safe and efficient operations. You'll drive strategic planning and collaboration across engineering, operations, and vendor teams. This role offers the chance to shape the future of **self-driving technology** at a world-class company.

You'll build and evolve systems managing Waymo's autonomous fleet, partnering with Product and engineering teams. Your work will power **commercialization tools** and **secure vehicle transactions** that drive the world's first autonomous ride-sharing business.

You'll drive capacity and resource management for **compute and storage infrastructure** at Waymo, an autonomous driving leader. Your core impact is ensuring efficient resource allocation across the company. This role offers the chance to solve complex technical challenges at the intersection of infrastructure and program management.

You'll own the global venue playbook for **autonomous ride-hail operations** at Waymo, driving launch readiness and performance across airports, stadiums, and transit hubs. Your work will enable **scalable venue partnerships** across 10+ markets. You'll collaborate cross-functionally to build **tooling and frameworks** that minimize community disruption.

You'll own end-to-end performance of the SFBA Ride-hail commercial operations, acting as the primary architect of operational success. You'll drive cross-functional teams to deliver a safe, reliable, autonomous service while balancing service reliability with long-term scalability.

You'll **build and oversee 'train the trainer' programs** for Waymo's autonomous driving operations, ensuring safe and consistent delivery of technical training. Your work directly impacts **fleet readiness and rider safety** across multiple US sites.

You'll lead **data-driven operational intelligence** for Waymo's autonomous fleet, delivering **real-time risk insights** to inform network-wide decisions. You'll standardize alerting frameworks and lead incident intelligence across a 24/7 operation.

You'll join Waymo's SRE team to build and run **reliable systems** for autonomous vehicle operations. You'll ensure **fleet availability and performance** through automation and observability. This role combines software engineering with **large-scale distributed systems** in a hybrid work model.

You'll work on small, high-velocity teams to deliver **user-facing features** and drive rider acquisition, engagement, and retention at Waymo. Your core impact will be building Android UX flows and extending into full-stack development, collaborating with PM, UX, and Marketing. This role offers the chance to shape the growth ecosystem across mobile and in-car experiences.

You'll build **mission-critical infrastructure** for Waymo's ride-hailing and fleet management systems, collaborating across engineering and operations teams to **scale systems** for commercial expansion. Solve real-world challenges like **world simulation for regression testing** of autonomous vehicle software.

You'll build mission-critical infrastructure for the Waymo Driver Validation team, enabling autonomous ride-hail and fleet management. Collaborate cross-functionally to solve **scalability** and **world simulation** challenges for **autonomous vehicles**.

You'll lead training content design and curriculum development for Waymo's safety-critical Fleet Response Operations. You'll drive cross-functional collaboration to achieve learning proficiency and compliance outcomes in complex regulatory environments. **This role shapes the training strategy** for the world's leading autonomous driving fleet.

You'll **lead the design and architecture** of next-generation offboard weather systems at Waymo, driving the development of real-time and forecasting weather applications. Your work will be critical to maintaining high performance and stability for systems vital to safe fleet operations in diverse weather environments.

You'll **build ML inference infrastructure** for autonomous driving simulations at Waymo, ensuring **reliability and latency** of model serving. This role impacts the simulation platform that has enabled over 100 million miles of autonomous driving.

You'll **approve model launches** balancing tradeoffs across surface areas, plan **12+ month model capability investments**, and set the **vision for model architecture** on a 12-36 month timeline. You'll work directly with 60+ engineers and TPMs to execute milestones and conduct root cause analysis.

You'll lead **Waymo's global social media strategy**, owning brand expression across US and expansion markets. You'll build **agile community management** and **data-driven analytics frameworks** to scale engagement. This role offers the chance to pioneer social-first content for an iconic autonomous driving brand.

You'll lead a small team of optimization experts at Waymo, focusing on CPU/GPU optimization for autonomous driving perception. Your impact will span system-level optimization and compute resource stewardship across the Sensor Foundations team.

You'll act as the primary point of contact for partner-led fleet service operations, cultivating strong collaborative relationships. You'll **establish and scale fleet service operations** in new markets and guide a team of diagnostic technicians. This hybrid role in Tokyo offers a chance to **shape autonomous fleet operations** globally.

You'll develop and maintain a data processing platform extracting signals from petabytes of driving logs and simulation traces at Waymo, an autonomous driving leader. You'll design low-latency streaming data pipelines for **real-time driving event identification**. This role offers the chance to work on **self-driving technology** at massive scale.

You'll **build and evolve mission-critical commercialization tools** and **collaborate with Product, UX, and engineering teams** to develop systems for autonomous ride-hailing and fleet management. You'll solve **hard real-world problems** like demand planning, pickup/dropoff optimization, and fleet optimization.

You'll lead **influencer and celebrity talent programs** for Waymo's brand marketing team. You'll drive cultural impact and user acquisition through innovative partnerships. This role offers the chance to shape the narrative for autonomous driving technology.

You'll lead strategic partnerships for Waymo's autonomous vehicle deployment in Japan, working cross-functionally to shape go-to-market strategy. Your core impact will be driving **market entry** and **regulatory influence** in Japan. This role offers a unique opportunity to bridge **local nuances** with global strategy.

You'll own the technology strategy and solution roadmap for Waymo's insurance and operations systems. Your work will ensure seamless data flow and system interoperability across platforms like Origami, LMS, and Salesforce. This role offers the chance to drive transformation in autonomous mobility.

You'll join Waymo's Demand Operations team to ensure a positive community presence in Florida markets. You'll **mitigate event disruptions**, **report on market health**, and **optimize pickup/dropoff experiences**. This hybrid role requires travel across Miami, Orlando, and Tampa.

You'll lead **end-to-end development** of next-generation sensor products, from concept to mass production, as part of Waymo's Hardware/Sensor team. Your work directly impacts **autonomous driving technology** that has driven over 100 million miles. You'll collaborate closely with software, mechanical, and manufacturing teams in a **hybrid work environment**.

You'll lead **critical incident response** for Waymo's autonomous fleet in Tokyo, coordinating cross-functional teams to resolve safety and operational issues in real time. You will ensure **business continuity** and drive continuous improvement through post-incident reviews.

You'll serve as Waymo's primary engineering liaison with **Japanese automotive safety regulators** and identify safety issues for autonomous vehicle fleets. You'll bring a local perspective to **ensure safety compliance** in Japan. This role is based in Tokyo and is critical for Waymo's expansion.

You'll develop and lead sourcing strategies for manufacturing partners across multiple industries, from prototyping to serial production. Your work ensures components are built to spec and delivered on time to meet growing business demands. This role offers exposure to **supply chain operations** for an **autonomous driving leader**.