Senior Software Engineer, Simulation Infrastructure

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. Our Waymo Driver powers a fully autonomous ride-hail service, having completed over ten million rider-only trips, backed by vast experience driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Within our Driver Understanding and Evaluation (DUE) team, we strive to develop comprehensive metrics for analyzing the Waymo Driver's behavior in real-world scenarios.In this hybrid role, you will report directly to a Software Engineering Manager.

Waymo, a leading autonomous driving technology company, is dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has been at the forefront of developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access and save lives currently lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rides provided and extensive experience driving more than 100 million miles on public roads, and tens of billions in simulation across over 15 U.S. states, we are committed to transforming transportation.At Waymo, we generate an extraordinary scale and complexity of data from billions of miles driven in simulations and millions on public roads. Central to our mission is the deep understanding of this data.Our world-class data analysis infrastructure is the cornerstone of our success. It is crucial for:Validating the safety and performance of the Waymo Driver.Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning.Facilitating data-driven decision-making for our commercial operations and product strategies.Standardizing our progress measurement and performance comparisons across different contexts.Insights derived from our data platforms influence every aspect of our technology and business. We are in search of an extraordinary technical leader to drive the vision and architecture of these essential systems.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Waymo is at the forefront of autonomous driving technology, aiming to become the most trusted driver worldwide. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—dubbed The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic accidents. The Waymo Driver operates our fully autonomous ride-hailing service and its capabilities extend across various vehicle platforms and use cases. With an impressive record of over ten million rider-only trips, our autonomous systems have driven more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states.The Core Platform team plays a pivotal role in managing software and infrastructure for several components of Waymo's self-driving system. Our responsibilities span from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, full-system debugging, system telemetry, and ensuring system reliability. Collaboration with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams is essential as we innovate the most efficient and low-latency self-driving solutions in the industry.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—the world's most experienced driver™—with the aim of enhancing mobility access while preventing the countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips under its belt and extensive experience driving more than 100 million miles on public roads, complemented by extensive simulations across 15+ U.S. states, Waymo is leading the charge in safe and efficient transportation solutions.The Planner Evaluation team addresses a pivotal challenge in autonomous driving: enhancing and quantifying the software that drives our vehicles. We seek seasoned data-driven software engineers and data scientists passionate about autonomous vehicles and utilizing complex data to drive informed decisions. This is the perfect opportunity for someone eager to make a significant impact in the field!In this hybrid role, you will report directly to an Engineering Manager.You will:Develop performance metrics and driving quality signals for the Waymo driver utilizing various techniques, including statistics, mathematics, physics, algorithms, and machine learning.Innovatively use simulations and analyze real-world driving logs to assess driving performance.Design and implement robust methods to strengthen the correlation between changes in onboard software and simulated results.Advocate for code quality and best practices within a large and intricate code base.Analyze data and provide insights for enhancing metric quality and interpretability.Collaborate effectively with engineers, data scientists, statisticians, and leadership to deliver evaluation products and facilitate data-driven decisions.Rapidly validate the effectiveness of additional coverage, ensuring solutions are robust for customer teams to manage their own evaluations.

At Waymo, we are pioneers in autonomous driving technology, dedicated to becoming the world's most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have been committed to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver drives our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and experience from over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, we are at the forefront of this technological revolution.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team consists of software engineers, machine learning (ML) engineers, and data scientists, all focused on developing industry-leading simulation solutions utilizing advanced ML algorithms that assess and enhance the Waymo Driver’s performance. We model the real world in detail, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite featuring cameras, LiDAR, and radars.In this hybrid role, you will report to a Senior Engineering Manager.Your Responsibilities:Design and develop robust C++ software systems and infrastructure for our realistic world generation platform, ensuring seamless integration with downstream Waymo applications.Collaborate closely with simulation, onboard, and system engineers, as well as data scientists to drive critical milestones for Waymo.Monitor, enhance, and ensure the performance, scalability, testing, and reliability of our platform.Engage with fellow engineers to architect the long-term vision of the system.

Waymo LLC develops autonomous driving technology in Mountain View, CA, with a mission to improve road safety and mobility. Since its origins as the Google Self-Driving Car Project in 2009, Waymo has logged over 100 million miles on public roads and completed more than ten million rider-only trips across more than 15 states. Perception Team The Perception team builds the systems that allow the Waymo Driver to understand its surroundings, make decisions in real time, and ensure passenger safety. This work relies on large-scale, multi-modal machine learning models trained on millions of miles of sensor data. Role overview This Principal Software Engineer (hybrid) will report directly to the Senior Director of Engineering, Perception. The position focuses on advancing the Waymo Driver’s post-training capabilities and supporting the technology roadmap for perception models. Key responsibilities Partner with Onboard model engineers to prototype and test new model designs and training methods before they move to production. Create infrastructure for model experimentation, including robust data and evaluation frameworks. Lead the post-training technology roadmap, exploring reinforcement learning and related techniques. Support production rollout of major improvements in model architecture and training recipes to address diverse behavioral situations. Foster strong partnerships between Onboard and research teams within Waymo and Alphabet. Collaborate with Onboard and other stakeholders to evolve and execute the post-training recipe roadmap for significant advancements and production impact.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have committed ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service and is versatile enough to be implemented across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving over 100 million miles on public roads, our technology stands out as a leader in the industry.Your Role:Build and sustain a robust data processing platform utilized by both onboard and offboard teams for extracting insights from vast amounts of driving logs and simulation data.Design and implement a low-latency streaming data processing system to facilitate real-time discovery of essential driving events.Enhance the reliability, scalability, and efficiency of our signal generation infrastructure by establishing service level objectives (SLOs) and minimizing operational overhead for large-scale data processing tasks.Foster collaboration with cross-functional teams in Perception, Planning, and Data Science to transition legacy systems to modern frameworks and support emerging analytical needs.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, powers our fully autonomous ride-hailing service and extends to various vehicle applications. With over ten million rides completed and more than 100 million miles driven autonomously on public roads, our impact is profound and growing.The Transportation as a Service (TaaS) team is committed to crafting exceptional user experiences and driving business growth around the Waymo Driver.Our responsibilities encompass Growth, Territory Expansion, Service Quality (including pickup, drop-off, and routing), Marketplace (pricing, positioning, matching), and Partnership monetization (B2B and B2C).The Trip Platform team focuses on developing Waymo's essential trip platform to support diverse high-growth applications, such as ride-hailing and delivery, catering to both first-party and third-party B2B partners, broadening access to Waymo's technology.In this hybrid role, you will be reporting to an Engineering Manager.

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access and aims to save thousands of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be utilized across various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and tens of billions of miles in simulation across 15+ U.S. states.Our commercial service currently operates in five cities, and as we expand our infrastructure, we are committed to evolving Waymo into a high-scale, world-class service.We are assembling a team of engineers focused on enhancing our in-car experience. This includes projects related to the Pick Up and Drop Off (PUDO) experience and infotainment during passenger trips, encompassing music, games, and maps. Our team is responsible for the user interfaces that allow customers to hail and manage our autonomous vehicles, tackling complex user experiences, phone-to-vehicle communications, and innovative human-computer interaction challenges in the AV domain.In this hybrid role, you will report directly to an Engineering Manager.

Waymo, a pioneer in autonomous driving technology, aims to be the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our focus is on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips enabled by more than 100 million miles of autonomous driving on public roads and tens of billions in simulation across 15+ states, we are setting the standard for safety and innovation.Your Role:Partner with engineering teams to embed security considerations throughout the design, development, and testing phases.Create security tools that empower both security and engineering teams.Conduct thorough technical security assessments, code audits, and design reviews.Provide technical solutions to address security vulnerabilities.Research and identify emerging attack vectors targeting Waymo's offerings.Establish Threat Models based on industry best practices.Develop security requirements for Waymo's engineering and supplier partners.

Join Waymo, a leader in autonomous vehicle technology, as a Senior Software Engineer specializing in Behavior Test Engineering. In this role, you will collaborate with cross-functional teams to design, develop, and implement robust test frameworks that ensure the safety and reliability of our self-driving technology.Your expertise will contribute to creating innovative solutions that push the boundaries of what is possible in autonomous driving. You will be responsible for enhancing the testing processes and ensuring our software meets the highest standards of quality and performance.

Waymo is looking for a Senior Software Engineer to join the DevAI team in Mountain View, CA. This group works on artificial intelligence technologies that support the company’s autonomous vehicle systems. Role overview This position focuses on designing, building, and refining software that improves the intelligence and performance of Waymo’s self-driving vehicles. The work involves collaborating closely with other engineers to deliver reliable and effective AI solutions. What you will do Develop and optimize software for autonomous vehicle platforms Work with team members to design and implement new AI-driven features Contribute to enhancing the capabilities and safety of Waymo’s transportation technology Team and impact The DevAI team brings together engineers focused on advancing the core intelligence of Waymo’s vehicles. This role has a direct impact on the future of transportation technology by helping shape how autonomous vehicles perceive and interact with the world.

Join Waymo as a Senior Software Engineer specializing in Onboard Software Integrity Infrastructure. In this role, you will develop and enhance software systems that ensure the reliability and safety of our autonomous vehicle technology. You will collaborate with cross-functional teams to design and implement solutions that uphold the highest integrity standards in software performance.

As a Senior Software Engineer specializing in Perception Verification at Waymo, you will play a crucial role in enhancing the safety and performance of autonomous driving technology. Your expertise will guide the development of innovative algorithms and systems that validate perception capabilities, ensuring our vehicles can navigate the complexities of real-world environments.This position offers an exciting opportunity to work at the forefront of technology, collaborating with a talented team of engineers and researchers dedicated to revolutionizing transportation.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, has successfully completed over ten million rider-only trips and navigated more than 100 million miles autonomously on public roads across over 15 U.S. states.As a Senior Security Engineer, you will play a pivotal role in fortifying Waymo's cybersecurity framework for our cutting-edge products and services. You will analyze system components, devise comprehensive cybersecurity strategies, and conduct Threat Analysis and Risk Assessments (TARA) in line with ISO/SAE 21434 standards. Your responsibilities will include defining and managing security requirements, determining risk treatment options, and collaborating with engineering and safety teams throughout the product lifecycle to identify and mitigate security and safety risks. Additionally, you will ensure ongoing compliance with relevant standards across various projects.

Join Waymo as a Senior Systems Test Engineer, where you will play a crucial role in ensuring the quality and reliability of our cutting-edge autonomous vehicle technology. You will collaborate with cross-functional teams to develop and execute test strategies that enhance our systems' performance and safety. Your expertise will contribute to the evolution of self-driving technology, making transportation safer and more efficient.

Waymo is an innovative leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant strides in developing the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while preventing countless traffic-related fatalities. With over ten million rider-only trips and extensive autonomous driving experience across more than 100 million miles on public roads, Waymo continues to redefine transportation solutions in over 15 U.S. states.The Machine Learning Operations (ML Ops) team, a vital part of the Waymo ML Platform, is responsible for creating tools and infrastructure that facilitate the ML flywheel at Waymo. This team focuses on developing automation and orchestration solutions that streamline complex ML workflows and collaborates closely with the modeling team to enhance developer efficiency.We are seeking a skilled software engineer to join our team, responsible for building and maintaining critical data and ML pipelines that drive ML development at Waymo.In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Established in 2009 from the Google Self-Driving Car Project, Waymo focuses on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, along with extensive simulation across 15+ U.S. states, Waymo is redefining transportation.The Planner Evaluation team is at the forefront of addressing one of the critical challenges in autonomous driving: assessing and enhancing the quality of the software that operates the vehicles. We are in search of skilled data-centric software engineers and data scientists who are eager to improve our methodologies for characterizing and evaluating modifications to the onboard software stack. If you're enthusiastic about autonomous vehicles and utilizing complex data to inform decision-making, this is the ideal opportunity for you!This hybrid role will report to an Engineering Manager.Your responsibilities will include:Developing metrics to evaluate the performance and driving characteristics of the Waymo Driver using various techniques such as statistics, mathematics, physics, algorithms, and machine learning.Utilizing simulations creatively while analyzing real-world driving logs to assess driving performance.Designing and implementing methods to establish a robust connection between onboard software modifications and simulated results.Promoting code health and adherence to best practices within a large and intricate codebase.Analyzing data to provide actionable insights on enhancing metric quality and interpretability.Collaborating with fellow engineers, data scientists, statisticians, and leadership to produce evaluation tools and support data-driven decisions.