Principal Software Engineer - Waymo Driver Post Training

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 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 is seeking a Principal Software Engineer focused on Onboard Field Response to help advance autonomous driving technology. This position is based in Mountain View, CA. Role overview This role centers on improving how autonomous vehicles respond in real-world environments. The Principal Software Engineer will design and implement software for onboard systems, working to ensure vehicles operate smoothly and efficiently. What you will do Design and build software solutions for onboard field response Collaborate with cross-functional teams to integrate and refine technology Contribute to the ongoing innovation of Waymo's autonomous vehicle systems Requirements Expertise in software engineering and a strong background in developing solutions for complex systems are essential for this role.

Join Waymo as a Principal Software Engineer, ML System Architect, where you'll leverage your expertise in machine learning to architect innovative software solutions. As a core member of our engineering team, you will be instrumental in shaping the future of autonomous driving technology.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo develops the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. Our fully autonomous ride-hail service has completed over ten million rider-only trips, thanks to the Waymo Driver's extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Software Engineering team is instrumental in crafting the intelligence behind Waymo's autonomous driving technology. Our sophisticated software empowers the Waymo Driver to interpret its surroundings, make critical decisions in real-time, and transport passengers safely to their destinations. We tackle complex technical challenges in fields such as robotics, perception, decision-making, and deep learning, working closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we invite you to apply.Every mile logged by a Waymo vehicle generates a unique and invaluable dataset, which is crucial for refining our machine learning models and enhancing the safety and efficacy of the Waymo Driver. You will lead the architecture of a comprehensive data-driven self-improvement loop that integrates every autonomous mile into our machine learning processes. This involves collaboration with Waymo's infrastructure, modeling, and evaluation teams to continuously scale and improve the entire ML lifecycle.In this role, you will report to our Distinguished Engineer, Foundation Models.

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, Waymo has tirelessly worked on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver fuels our fully autonomous ride-hailing service and can adapt to various vehicle platforms and applications. With over ten million rider-only trips completed, Waymo has amassed more than 100 million miles driven autonomously on public roads, supplemented by tens of billions of simulated miles across 15+ U.S. states.The Perception team at Waymo is instrumental in crafting the technology that empowers the Waymo Driver. Our advanced models enable the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe passage for passengers. Engaging in research to tackle real-world challenges, we collaborate closely with Alphabet's research teams. Our access to extensive driving data from diverse sensors allows machine learning practitioners to develop scalable multi-modal models and techniques.You will report directly to our Director of Engineering within the Perception Organization.

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

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 is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which aims to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. To date, the Waymo Driver has successfully conducted over ten million rider-only trips, leveraging its experience from over 100 million miles driven on public roads and billions of miles in simulation across more than 15 U.S. states.We are in search of passionate and skilled engineers to join our team and spearhead the post-training process for large language models (LLMs) in the realm of autonomous driving. You will collaborate with an exceptional team of researchers and engineers to innovate and elevate the next generation of advanced AI models.

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, 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 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 is a pioneering company in the realm of autonomous driving technology, striving to become the most reliable driver globally. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver underpins our fully autonomous ride-hail service and can be utilized across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has autonomously navigated over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.Role Overview: As a key member of the Waymo ML Infrastructure team, you will collaborate with both Research and Production teams to refine models in Perception and Planning that are vital to our autonomous driving software. You will provide the optimal solutions for the entire model development lifecycle, developed in close partnership with Google teams. Your primary focus will be on enhancing the runtime efficiency of input data pipelines for large-scale training workloads, presenting a unique opportunity to advance ML systems and improve our model training processes.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven on public roads, alongside tens of billions of miles simulated across 15+ U.S. states, Waymo is leading the way in autonomous transportation.The Waymo Safety team is pivotal in fostering and enhancing the safety of our fully autonomous driving technology. Our specialists formulate safety objectives and strategies, conducting thorough safety engineering analyses to integrate safety considerations at every stage of vehicle design and development. This team also develops and advocates for safety policies for autonomous vehicles, liaising with regulatory bodies, lawmakers, law enforcement, and public and non-profit organizations to ensure compliance with environmental, health, and safety regulations.In this hybrid role, you will report to one of our System Safety Leads.Your responsibilities will include:Leading cross-functional initiatives to perform safety analyses, identifying potential hazards and their origins, assessing safety risks both qualitatively and quantitatively, defining safety requirements, influencing design decisions, proposing mitigation strategies, and supporting verification processes.Engaging in hardware, software, and operations/product design and readiness reviews to ensure safety requirements and mitigations are effectively implemented in the field.Advising on the adoption and adaptation of pertinent safety standards and industry best practices, ensuring Waymo and its partners meet relevant safety regulations.Evaluating the ongoing effectiveness of risk control strategies and aiding in the identification of new hazards.Leading the definition, implementation, and enhancement of relevant System Safety processes while nurturing our safety culture within Waymo.Integrating the System Safety Methodology with other methodologies within the Waymo safety framework.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—which enhances mobility access while saving countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips taken, our driver has autonomously covered over 100 million miles on public roads and engaged in tens of billions of miles in simulation across more than 15 U.S. states.The Waymo Mapping team is tasked with creating an ultra-high-resolution map of the world to ensure safe autonomous driving. We employ a blend of automated and manual techniques to generate the map and develop the necessary infrastructure for storing, processing, and distributing this crucial data. Our team partners closely with various Waymo teams that rely on map data.In this role, you will:Lead a talented group of software engineers to scale our mapping infrastructure and revolutionize the mapping schema.Assess and implement machine learning models that autonomously generate maps from raw data.Collaborate with onboard teams to refine Waymo’s mapping format for better automation compatibility.Develop backend infrastructure for the storage and processing of diverse map data.Expand our systems to facilitate global mapping efforts.

Waymo, originally launched as the Google Self-Driving Car Project in 2009, has become a leader in autonomous driving. The company’s technology has powered over ten million rider-only trips and logged more than 100 million miles on public roads, with extensive simulation testing across more than 15 U.S. states. Waymo focuses on fully autonomous ride-hail services and adapts its technology to various vehicle platforms, aiming to improve mobility and road safety. The Hardware Engineering group at Waymo brings together experts in electrical, mechanical, reliability, software, and vehicle engineering. This team is responsible for designing, building, and refining the sensory systems that help autonomous vehicles perceive their environment. Team members value collaboration and curiosity as they integrate new technologies into vehicle platforms. Role overview The Sensor Electrical Engineer will join the Hardware/Sensor team and report to the Sensors Hardware Lead. This hybrid role is based in Mountain View, CA. What you will do Oversee the entire product life cycle for sensor technologies, from initial design and development through to mass production. Collaborate closely with cross-functional teams, including software, mechanical, and manufacturing partners, to deliver reliable and innovative engineering solutions. Location and work model This position is located in Mountain View, CA and follows a hybrid work schedule.