Mechanical Engineer for Autonomous Vehicles

Waymo is a pioneering technology company focused on autonomous driving, aiming to become 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™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology powers a fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. The Waymo Driver has successfully completed over ten million rider-only trips, leveraging experience from over 100 million miles driven autonomously on public roads and billions more in simulation across more than 15 U.S. states.Our Software Engineering team designs the intelligent systems behind Waymo’s autonomous driving capabilities. Our software enables the Waymo Driver to sense its surroundings, make informed decisions, and transport passengers safely. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher with curiosity for Level 4 autonomous driving, we want to connect with you.In this hybrid position, you will report to the Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver on the planet. Originally initiated as the Google Self-Driving Car Project in 2009, Waymo has relentlessly pursued the development of the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across 15+ U.S. states, Waymo is leading the charge in safe and effective autonomous transportation.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments that are crucial for testing and training the Waymo Driver. Our team consists of a diverse group of software engineers, machine learning engineers, and data scientists, dedicated to developing industry-leading simulation solutions that assess and enhance the performance of the Waymo Driver. By accurately modeling the real world—including self-driving vehicle dynamics, realistic agents (vehicles, pedestrians, cyclists, motorcyclists), traffic systems, and environmental conditions—we ensure that our simulations reflect true driving scenarios. This capability is essential to our mission of creating the world's most experienced driver.The Vehicle and Automated Driving Realism team is focused on innovating tools and techniques that enhance driving realism, a core aspect of our simulation efforts. We are committed to ensuring that the data derived from our simulations accurately represents real-world driving performance, emphasizing performance, reliability, fidelity, and usability.In this role, you will report directly to a Senior Staff Engineering Manager.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of advancing mobility solutions. Our flagship product, the Waymo Driver—The World’s Most Experienced Driver™, enhances access to safe transportation while significantly reducing traffic-related fatalities. This state-of-the-art driving system powers our fully autonomous ride-hailing service and is adaptable across a multitude of vehicle types and applications. Having completed over ten million rider-only trips and accumulated over 100 million miles driven autonomously on public roads, we are committed to redefining the future of transportation.Our Systems Engineering team is at the core of this innovation, merging software and hardware to set unparalleled performance benchmarks. We strive for excellence in vehicle operations, ensuring passenger safety while conducting rigorous testing to validate our systems. We seek enthusiastic team members who possess a collaborative spirit and a passion for impactful results.In this hybrid role, you will collaborate directly with a Senior Staff Test Engineer specializing in Driving Behaviors.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, we are committed to enhancing mobility access and preventing traffic-related fatalities. Our innovative Waymo Driver has successfully completed over ten million rider-only trips, leveraging extensive real-world experience with over 100 million miles driven autonomously and billions of miles simulated across more than 15 states.The Simulator Team at Waymo specializes in crafting advanced simulations that replicate realistic environments for the testing and training of the Waymo Driver. Comprising a diverse group of software engineers, machine learning experts, and data scientists, our team is focused on developing leading-edge simulation technologies powered by sophisticated ML algorithms to optimize the performance of the Waymo Driver. Our efforts include modeling real-world scenarios with realistic entities such as vehicles, pedestrians, cyclists, traffic systems, and various weather conditions.To enhance the realism and control of our simulations, we utilize state-of-the-art ML technologies, including large foundational World Models trained on our proprietary datasets and reinforcement learning techniques for long-term decision-making. We also invest in robust infrastructure that enables rapid setup and execution of multiple counterfactual scenarios for thorough testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Staff Tech Lead Manager.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most reliable driver. Since its inception as 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 and significantly reduce traffic-related fatalities. Our innovative Waymo Driver powers our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. Having completed over ten million rider-only trips, our technology is backed by more than 100 million miles driven autonomously on public roads and tens of billions simulated across more than 15 U.S. states.The Reasoning Foundations Team is pivotal in crafting horizontal technologies that impact the entire Waymo organization. Within this team, the Driving Logic Capabilities unit focuses on building and maintaining the essential interfaces, infrastructure, and shared technologies utilized by Planner Reasoning to address onboard behavioral challenges. In this impactful role, you’ll play a crucial part in enhancing the Waymo Driver's performance as we expand into new cities, empowering over 100 engineers to develop onboard software and advance Waymo’s architectural frameworks. Additionally, you will have the chance to influence development workflows organization-wide by establishing clear interfaces and processes for developing and debugging the Waymo driver.In this hybrid role, you will report directly to a Lead 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.

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.

About Us Nuro is at the forefront of the self-driving technology revolution, committed to making autonomy a reality for everyone. Established in 2016, we are developing the world’s most scalable driver, integrating advanced AI with automotive-grade hardware. Our proprietary technology, the Nuro Driver™, is designed to power a diverse range of applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview As the Autonomous Driving System Safety Lead within our Systems Engineering team, you will take the reins in authoring and managing safety claims for both onboard and offboard software, significantly comprised of AI elements. You will collaborate with teams across autonomy software, data platforms, operations, and legal departments to ensure comprehensive system requirements, AI architecture, and supporting evidence for these claims. Your role will be pivotal in identifying and mitigating potential gaps in our safety case. Key Responsibilities Oversee safety claims by thoroughly understanding the ADS design, interfaces, and system capabilities, collaborating with leads in Autonomy Robotics and Software Infrastructure. Break down claims into manageable components, delegating tasks to cross-functional teams while ensuring quality control. Formulate counter-arguments to claims, ensuring they are addressed or sufficiently mitigated. Evaluate and assess evidence from validation activities as part of the safety case, working closely with V&V test teams. Establish processes for tracking safety performance indicators related to driverless (driver-out L4) deployment. Communicate functional and technical risks, including test gaps and AI architecture limitations, to senior leadership, along with proposed solutions. Advance safety research by identifying applicable technical standards and best practices, effectively integrating them into the safety case. Although initially an individual contributor, there is room for team growth upon achieving defined technical milestones.

At Waymo, we are at the forefront of autonomous driving technology, striving to become the world’s most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World's Most Experienced Driver™. Our mission is to enhance mobility access while potentially saving thousands of lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rides completed, our technology has driven more than 100 million miles on public roads and tens of billions in simulation across 15+ states in the U.S.We are looking for innovative and collaborative individuals to join our Hardware Engineering team, which includes electrical, mechanical, reliability, software, and vehicle engineers. Together, we design, build, and refine the products that serve as the eyes and ears of Waymo's autonomous driving technology, integrating them into our vehicle platforms. If you are curious and talented, we want you on our team!This position follows a hybrid work model, and you will report to the Tech Lead Manager of the Sensor Software Team.

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.

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 a pioneering company in autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, we have concentrated on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost to traffic incidents. With over ten million rider-only trips completed and having driven autonomously over 100 million miles on public roads as well as tens of billions in simulations across more than 15 U.S. states, the Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications.The Simulator Team at Waymo is dedicated to constructing sophisticated simulations of realistic environments for the testing and training of the Waymo Driver. You will be a part of a diverse and collaborative group of machine learning (ML) engineers, software engineers, and data scientists. Our goal is to deliver industry-leading simulation solutions by utilizing advanced ML algorithms to assess and enhance the Waymo Driver's performance. We achieve this by accurately modeling the real world, which includes realistic agents (such as vehicles, pedestrians, cyclists, and motorcyclists), roadways, traffic control systems, and weather conditions, complemented by a comprehensive sensor suite including cameras, LiDAR, and radars.To amplify the fidelity, scalability, and controllability of our simulations, we leverage cutting-edge ML technologies, including large language models, foundational world models, and reconstructive methods trained on extensive datasets, alongside traditional rendering techniques.In this hybrid role, you will report directly to a Senior Staff Engineering Manager.

Who We AreNuro is a pioneering self-driving technology company dedicated to making autonomous vehicles accessible for everyone. Established in 2016, Nuro is at the forefront of developing the world's most scalable driver, merging advanced AI with automotive-grade hardware. Our signature technology, the Nuro Driver™, is licensed to support an array of applications including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments behind us, we provide automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, contributing to a safer, more connected future.About the RoleIn the capacity of Senior Software Engineer focusing on Collision Avoidance Testing, you will collaborate with various teams, including onboard autonomy, evaluation infrastructure, data science, operations, and simulation, to assess the performance of our autonomous vehicles in collision avoidance situations. Your key responsibilities will include pinpointing gaps in on-road and simulation tests, crafting suitable tests to address these gaps, evaluating test results, and refining test designs. You will analyze outcomes, propose product enhancements, and communicate residual risks to both leadership and within the safety case framework.About the WorkDesign realistic scenarios to enhance collision avoidance and detection test coverage utilizing log replay simulations and synthetic reconstructions of third-party accidents.Create validation methodologies for testing Automated Emergency Braking functionalities through simulations and structured testing.Identify deficiencies in both simulation and public road testing, formulating structured test scenarios to bridge these gaps in compliance with standards from NHTSA or NCAP.Assist in developing models to quantify risks in scenarios with non-zero collision probabilities.Draft test and residual risk reports, offering strategic recommendations to enhance simulation realism and autonomy architecture.Support the safety assessment by identifying, documenting, and communicating claims related to collision avoidance and simulation realism.Effectively communicate across teams including onboard and offboard software engineers, test operations, and leadership to present risks and requirements clearly.

About Nuro Nuro is at the forefront of self-driving technology, dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driver, integrating state-of-the-art AI with high-quality automotive hardware. Our proprietary technology, the Nuro Driver™, is licensed for a diverse array of applications, including robotaxis, commercial fleets, and personal vehicles. Proven through extensive self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview As a Senior Machine Learning Research Scientist in our Perception & Behavior team, you will harness cutting-edge machine learning research to tackle complex real-world robotics challenges. Your primary focus will be on advancing the ML landscape and large-scale learning applications for autonomous vehicles, steering towards a holistic end-to-end driving system. This role involves developing and refining large-scale models for perception and behavior, staying abreast of the latest architectural innovations, collaborating with cross-functional teams to assess data and infrastructure needs, and enhancing model optimization and inference speeds. Your expertise in applied research will be critical in the creation and deployment of ML models within our autonomous vehicles. If you're passionate about solving fundamental AI challenges and seeing your solutions come to life in real-world robotics, we invite you to join our team! Key Responsibilities Develop and enhance state-of-the-art end-to-end ML models for autonomous vehicles, processing raw sensor data (camera, LiDAR, radar) to inform vehicle behavior. Rapidly prototype and iterate on solutions using extensive real-world driving datasets and robust computational resources. Investigate and implement innovative solutions to tackle some of the most pressing issues in AV technology, including handling rare events, ensuring safety, and providing comfortable user experiences. Collaborate closely with autonomy teams to identify critical challenges and devise comprehensive solutions through learned approaches. Partner with infrastructure, data, and evaluation teams to create efficient data handling, training, assessment, and validation processes. Deliver practical, high-performance solutions that can be deployed to the NuroDriver in live environments.

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, 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, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips under its belt, the Waymo Driver has driven autonomously over 100 million miles on public roads and completed tens of billions of miles in simulation across more than 15 U.S. states.The Planner Evaluation team tackles one of the primary challenges in autonomous driving: assessing and elevating the quality of the software steering the car. We seek data-driven software engineers and data scientists who are passionate about autonomous vehicles and adept at utilizing complex data to inform decision-making. If this excites you, we encourage you to apply!This position follows a hybrid work model and reports to an Engineering Manager.

Waymo, a pioneering autonomous driving technology firm, is dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have been committed to creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. With our fully autonomous ride-hail service, the Waymo Driver has successfully completed over ten million rider-only trips, having driven over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Our Software Engineering team develops the core intelligence behind Waymo’s fully autonomous driving technology. By enabling the Waymo Driver to interpret its surroundings, make informed decisions, and transport individuals safely to their destinations, we tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, and work closely with hardware and systems engineers. If you are a passionate and inquisitive software engineer or researcher interested in Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is responsible for delivering high-quality, processed sensor data through optimized APIs for Perception models. We abstract hardware variances where feasible and provide essential Perception signals via algorithms or machine learning. Projects within our team require a versatile skill set, encompassing robotics, system integration, code optimization, and machine learning expertise. We possess a robust understanding of both sensor and compute hardware, as well as the overall Perception framework. We seek a proficient Software Engineer with experience in robotics and machine learning to help us streamline the transition from algorithms to machine learning for low-level Perception tasks.This position operates on a hybrid schedule and reports directly to the Technical Lead Manager of the Sensor Foundations Team.

Waymo is at the forefront of autonomous driving technology, aiming to become 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™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hailing service, having successfully completed over ten million rider-only trips, powered by more than 100 million miles of autonomous driving on public roads and extensive simulation across 15+ U.S. states.The Waymo Mapping team is committed to creating a comprehensive high-resolution map of the world to ensure safe autonomous driving. We utilize a combination of automated and manual mapping techniques to build the infrastructure necessary for storing, processing, and distributing this vital map data. Our team partners with various other Waymo teams that rely on this map data.