Waymo

Title: Program Manager, External Reporting Location: Mountain View United States Job Description: Full-Time Legal 5219 Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As part of Waymo's Legal team, you will work on the exciting legal issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our public policy, safety, security and privacy experts to define transportation policy for the autonomous driving world to come, advising on regulatory changes that support and protect our users around the world. We collaborate with our engineering, product, strategy and operations teams to develop and protect our intellectual property portfolio and drive our corporate and commercial transactions. We enable compliance with an increasingly complex and dynamic range of global regulations. And we anticipate, mitigate, and litigate high-profile and precedent-setting legal matters. This role follows a hybrid work schedule and reports to the Lead, External Reporting You will: - Work independently in an assigned area of external data reporting to autonomous vehicle regulators - Intake new or updated regulations focused on regulatory reporting, and work with Legal, Product, Engineering, and TPgM teams to establish policies and procedures to operationalize requirements for Waymo’s operations - Act as a subject matter expert to support cross functional teams that are implementing compliance controls and tooling to support reporting - Assist in the management, collection, quality controls, submission, and tooling development for reportable data across Waymo’s markets - Support ad hoc projects to respond to regulator requests for data - Analyze and communicate identified trends, gaps, predictions, and opportunities for process improvement You have: - At least 4 years experience working on an external data reporting program, preferably at a safety-focused, highly-regulated organization - Strong experience working with regulations and regulatory bodies in the APAC Region - Exceptional attention to detail, both in written and verbal communication - Technical aptitude with ability to quickly learn proprietary software - Analytical background with the ability to source and analyze data, identify deficiencies or trends, and present facts or trends - Demonstrated project and program management skills while working in a fast-paced, ambiguous environment We prefer: - Proficiency speaking and writing in Japanese, with the ability to prepare technical data reporting and interact with local partners and regulators - Experience working with autonomous vehicles, transportation, or ride hailing regulations - Experience managing external partners and third party vendors - Demonstrated ability to conceptualize turning repetitive tasks into scaled, automated workflows - Willingness and flexibility to work non-standard hours, as required, to collaborate with teams based in the APAC region Travel Requirements: - This individual may travel to the APAC region up to 4x per year, or approximately 10% of the time The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $137,000—$169,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate’s qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Role Description The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgments and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack. - Build scalable systems for training and fine-tuning large-scale models to evaluate interesting driving behaviors. - Work at the intersection of data engineering, model development, and simulation. - Provide guidance on architectural decisions and technical directions. - Own large, complex systems, driving architectures that meet technical and business objectives. - Contribute to the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles. - Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation, model training, and evaluation. - Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. - Translate product/business goals into measurable technical deliverables, ensuring system component alignment. Qualifications - M.S. or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. - 5+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model. - A history of contributions to machine learning tooling and frameworks e.g. PyTorch, Jax, Tensorflow, Ray, or similar. - Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks. Requirements - 7+ years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model. - Experience in the autonomous vehicles domain, robotics, or complex simulation environments. - Familiarity with large-scale simulation platforms and their integration with ML training workflows. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is $213,000 — $263,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Role Description Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Sensor Simulator Platform Team maintains the core of the simulation pipeline that allows Waymo to drive millions of simulated miles each year. The team is responsible for both the rendering/simulation engine as well as the pipeline that lets a variety of internal customers run SensorSim at scale. - Help build and maintain efficient simulators capable of running millions of simulated miles to evaluate the safety of Waymo's onboard models. - Work with multi-modal data processing and simulation, including cameras, lidar, and radar. - Interface with AI and machine learning teams that develop parts of the simulation pipeline. Qualifications - Developed or worked with 3D game engines. - Experience in approximating the real world with data simulation, which might include physics simulation, animation capture, light transport, photogrammetry, NeRFs, or Gaussian splats. - Experience in working on efficient asset management pipelines for data storage and processing. Requirements - Prior experience in working on or integrating with ML pipelines and a general understanding of how such pipelines are trained and improved. - Experience in scaling complex data processing pipelines and an understanding of the trade-offs in structuring these pipelines to operate synchronously or asynchronously. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $213,000 — $263,000 USD

Role Description The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver. In this role, you will report to a Senior Staff Engineering Manager. You will: - Analyze model architectures and identify bottlenecks in training and inference performance (e.g., memory bandwidth, compute, communication). - Apply and develop techniques such as quantization (e.g., FP8, INT4), pruning, knowledge distillation, and efficient attention mechanisms. - Optimize model code for specific hardware accelerators (TPUs, GPUs), leveraging compiler features and low-level libraries (e.g., XLA). - Experiment with different model partitioning and sharding strategies (e.g., data, tensor, pipeline parallelism, expert parallelism) to improve scalability and efficiency. - Design and implement low-latency, high-throughput serving solutions for generative models and optimize training pipelines to reduce training time. - Build and maintain tools for performance analysis, profiling (e.g., xprof), and debugging of ML models. Qualifications - MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. - 5+ years of experience with deep learning architectures (especially Transformers, Diffusion Models, MoEs), algorithms, and optimization techniques. - Proficiency in JAX, Flax, and potentially TensorFlow/PyTorch. - Expertise in using profiling tools (e.g., XProf, Perfetto, NVIDIA Nsight) to diagnose performance issues in ML workloads. - Hands-on experience with quantization, pruning, distillation, and other model compression methods. - Strong programming skills in Python and potentially C++, with experience in software development best practices. Requirements - Knowledge of TPU and GPU architectures and how to optimize code for them. - Familiarity with ML compilers like XLA and an understanding of how they translate high-level code to efficient hardware instructions. - Understanding of concepts related to training and serving models across multiple devices and machines. - Experience contributing to frameworks and libraries that improve training speed and scalability (e.g., JAX, Gemax, XManager). Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is $251,000 — $310,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Role Description The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. - Own the architectural design and hands-on development of robust Agentic AI components, focusing on multi-agent orchestration, tool execution, and reasoning loops for event triage. - Engineer scalable agentic workflows using modern LLM orchestration frameworks to automate and augment triage capabilities for Engineering and SWQOps. - Implement stateful agentic infrastructure, including long-term memory management (RAG, vector databases), semantic routing, and custom internal tool integrations. - Collaborate with partner teams to embed autonomous agents directly into the Waymo Driver evaluation lifecycle. - Tackle complex automation problems by breaking them down into actionable multi-agent projects and driving the technical execution of the team's roadmap. Qualifications - Significant experience (typically 5+ years) in software engineering, with a focus on designing, building, and maintaining complex distributed systems. - Strong expertise in applied LLMs and Agentic AI development, with a proven track record of building multi-agent systems, reasoning engines, or autonomous workflows. - Strong proficiency with agent orchestration frameworks and advanced prompt engineering. - Proven ability to execute on technical strategy, collaborate inclusively with cross-functional teams, and drive end-to-end development of AI-native applications. - Excellent communication skills, with the ability to clarify technical limitations and solutions for partner teams. - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. Requirements - Master's or PhD in Computer Science or a related field, with a specialization in AI/ML or a related area. - Experience developing custom tools/plugins for agents, semantic routers, and implementing complex multi-agent collaborative patterns. - Familiarity with autonomous vehicle simulation, testing, or evaluation domains. - Proficiency in C++ and Python, with experience building production-grade microservices and pipelines. - Experience working with large-scale data processing, knowledge graphs, and distributed systems. - Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Salary Range: $251,000 — $310,000 USD

Role Description The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to: - Develop methods for efficiently and continuously learning from large scale real-world data. - Develop models and model training at scale. - Analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world. - Optimize models for our onboard and offboard hardware. You will: - Design VLM/LLM model architecture and drive strong alignment between model architectures and hardware architectures. - Optimize model performance for on-device use cases (memory, power, compute constrained environments). - Engage directly with research, software engineering, hardware engineering, and product teams to deliver end-to-end solutions. Qualifications - 7+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). - Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration. - Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training. - A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints. - Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems). - Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. Requirements - Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. - Background in autonomous vehicle perception, motion planning, or decision-making systems. - Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). - PhD in a relevant field. Benefits - Participation in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $298,000 — $368,000 USD Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Role Description The Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components. You will: - Have 8+ years of professional software development experience on large scale products. - Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems. - Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments. - Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference. - Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development. - Embedded deeply with model teams to drive the productionization of unified models. - Establish new software development best practices and technologies to accelerate model development and releases. Qualifications - BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience). - Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference. - Proven track record of leading complex, cross-functional engineering projects as a technical lead. - Deep understanding of ML deployment, inference frameworks, and associated developer tooling. - Good communication and collaboration skills working with cross-org partner teams. Requirements - Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field. - Experience with data pipelines and feature extraction for machine learning models. - Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems. - Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $251,000 — $310,000 USD

Role Description You will: - Collaborative - work across team boundaries - Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles - Independence / leadership - take ownership and drive efforts to completion - Technical road map definition experience - Performance management experience Qualifications - BS degree in Computer Science or equivalent practical experience - 6+ years experience working with backend tech (e.g. C++, Spanner, or others) - 6+ years of experience with Front End (Angular, Javascript, React, etc) - 5+ years of people management experience - TL or leadership skills - Experience in product development lifecycle Requirements - Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent - Development experience with C++ or other backend programming languages - Development experience with frontend frameworks (e.g. Angular, React) - Scalability and system performance experience Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program - Equity incentive plan - Generous Company benefits program, subject to eligibility requirements Salary Range The expected base salary range for this full-time position across US locations is: $251,000 — $319,000 USD Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Role Description The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. As a Technical Specialist in Scenario Operations, you are the Subject Matter Expert who bridges the gap between our simulation software capabilities and real-world operational execution. In this role you support: - Tooling Development & Optimization: Partner with Product and Engineering teams on design, test, and deployment of cutting-edge simulation tools. Ensure these tools effectively combine human-in-the-loop (HITL) precision with AI-driven automation to create scalable test coverage. - Rapid Issue Response: Drive the technical processes for "rapid-response" simulation-based scenario testing. Apply your deep understanding of the A/V software stack and our tooling to support root-cause evaluation and fix validation when emergent issues are found in the field. - Policy Development: Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate advanced tools and insights into daily vendor workflows. - Quality Assurance: Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance. - Technical Consultation: Act as the Subject Matter Expert (SME) for your specific domain. Provide technical leadership to cross-functional stakeholders, advising on the feasibility of new testing coverage and driving tool improvements to achieve desired outcomes. Qualifications - BS/BA degree or 4 years of relevant work experience in AV Software Quality, Simulation or Technical Operations - Experience with ML testing and validation methods, including dataset quality assurance, bias detection, edge-case scenario testing, and/or performance evaluation using statistical metrics - Ability to quickly master proprietary software tools and a proven track record of root-causing high complexity, technical issues - A strong understanding of driving rules, behavioral safety, and the nuances of complex traffic environments Requirements - Hands-on experience with advanced AV simulation test environments - Basic experience with SQL for data extraction and basic results analysis - Experience working with offshore teams/multiple local operations hubs - Track record of using technical expertise to influence product roadmaps or improve internal customer satisfaction Benefits - Eligible to participate in Waymo’s discretionary annual bonus program - Equity incentive plan - Generous Company benefits program, subject to eligibility requirements Salary Range The expected base salary range for this full-time position across US locations is $51.45 — $62.99 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

Title: Staff Software Engineer, Planner Evaluation Locations: Mountain View, California, United States | San Francisco, California, United States | New York City, New York, United States Hybrid Job Description: Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Sr. Engineering Manager. You will: - Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. - Use simulation creatively and mine real world driving logs to measure driving performance. - Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. - Champion code health and best practices in a large and complex code base. - Analyze data and make recommendations on how to improve metric quality and interpretability. - Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: - BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area - Strong self-motivation to navigate complex systems and pursue open-ended problems to completion - 4-7 years of industry experience with - Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL - Performing statistical analyses - Building data processing pipelines - Writing, reviewing, and merging code following industry standards for code health and maintainability - Quant/data fluency is a top requirement We prefer: - Experience coding in C++ - Experience with ML - Experience with A/B experiment infrastructure - Experience building and validating metrics to measure quality in complex systems - Exposure to ad-hoc data analysis tools for rapid modeling and prototyping - Experience working in the AV industry #LI-Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$310,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate's qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law.