Senior Machine Learning Engineer, Simulation

Waymo is pioneering the future of autonomous driving technology with a vision 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™—which aims to enhance mobility access and save countless lives lost in traffic accid…

Waymo is pioneering the future of autonomous driving technology with a commitment to becoming the most trusted driver worldwide. 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™—with the goal of enhancing mobility access and saving countless lives currently lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable across various vehicle platforms and applications. Having completed over ten million rider-only trips and autonomously navigated more than 100 million miles on public roads, our technology has undergone extensive testing, including tens of billions of miles in simulations across more than 15 U.S. states.The Simulator Team at Waymo specializes in creating cutting-edge simulations of realistic environments designed for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team comprises software engineers, machine learning (ML) engineers, and data scientists, all united in our mission to develop industry-leading simulation solutions utilizing advanced ML algorithms to measure and enhance the Waymo Driver's performance. By leveraging machine learning, we meticulously model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, roads, traffic control systems, and varying weather conditions.To enhance the fidelity and steerability of our simulations, we integrate the latest ML technologies, including large foundation models trained on our exclusive datasets and advanced diffusion techniques. Our investment in robust infrastructure facilitates the swift setup and deployment of multiple scenarios for comprehensive testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Engineering Manager.

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 developed the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while significantly reducing road traffic fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips and the experience of driving autonomously over 100 million miles on public roads, coupled with tens of billions of miles in simulation across more than 15 U.S. states, we are redefining transportation.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments to rigorously test and train the Waymo Driver. Our diverse and collaborative team comprises software engineers, machine learning engineers, and data scientists dedicated to developing industry-leading simulation solutions using advanced machine learning algorithms to elevate the Waymo Driver’s performance. By harnessing the power of machine learning, we replicate real-world scenarios, including vehicles, pedestrians, cyclists, traffic control systems, and weather conditions.To enhance the fidelity and steerability of our simulations, we utilize the latest machine learning technologies, such as large foundational World Models trained on our datasets, world understanding and reasoning capabilities for edge cases, and reinforcement learning for long-term credit assignment. We also invest in robust infrastructure that allows us to rapidly set up and deploy 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.

At Reliable Robotics, we are pioneering advanced safety technologies for aviation, striving to create a future where air transportation is not only safer but also revolutionizes the movement of goods and people worldwide. Our dedicated team consists of engineers with extensive backgrounds in aerospace, robotics, and autonomous vehicles, all working collaboratively to turn this vision into reality.As a GNC Modeling and Simulation Engineer, your role will be critical in developing physics-based models that facilitate quick iterations and rigorous validation of our GNC software. You will conduct simulation analyses and validate these models against real-world data to ensure their accuracy and reliability.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Initiated as the Google Self-Driving Car Project in 2009, Waymo has relentlessly focused on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save countless lives currently lost in traffic accidents. The Waymo Driver is the driving force behind our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and product applications. With over ten million rider-only trips completed, our technology has driven more than 100 million miles on public roads and achieved tens of billions of miles in simulation across over 15 U.S. states.The Simulator Team at Waymo crafts cutting-edge simulations of realistic environments for testing and training the Waymo Driver. You will be part of a diverse and collaborative group of machine learning (ML) engineers, software developers, and data scientists. Together, we develop industry-leading simulation solutions utilizing advanced ML algorithms to measure and enhance the Waymo Driver's performance. Our work involves joint modeling of the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite including cameras, LiDAR, and radars.To boost the fidelity, scalability, and controllability of our simulations, we leverage the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on extensive datasets, alongside traditional rendering techniques.In this dynamic hybrid role, you will report to a Senior Staff Engineering Manager.Your Responsibilities:Innovate and Develop: Collaborate with our elite research engineering team to spearhead innovation in ultra-realistic sensor data and perception simulation for autonomous vehicles. You will implement the latest simulation technologies using 3D Gaussian Splatting, foundational models for sensor data, and traditional 3D graphics.Lead and Scale: Oversee the deployment and scaling of sensor simulation to tackle some of Waymo's most challenging problems. You will engage in a highly cross-functional environment, working alongside research, systems engineering, and other teams to expedite company objectives.Transfer Research to Production: Collaborate closely with Waymo's foundational AI research team to translate cutting-edge research into scalable, production-ready solutions.

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics, offering innovative transportation-as-a-service (ATaaS) solutions to enhance the B2B supply chain. We prioritize safety, reliability, and efficiency, ensuring seamless deliveries while alleviating congestion in freight movement. Our groundbreaking partnership with Walmart in 2021 marked the launch of the world’s first fully driverless commercial transportation service. Our Class 3-7 autonomous trucks are actively deployed in key markets, including Texas, Arkansas, and Ontario, Canada, paving the way for a new era in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, has been meticulously engineered to transport freight securely and efficiently between designated pick-up and drop-off points on the middle mile. With unparalleled capabilities across both highway and urban settings, Gatik Carrier™ is a comprehensive solution that integrates cutting-edge software and hardware, enabling smooth incorporation into our customers' logistics operations.About the RoleWe are looking for an exceptional Full-Stack Engineer to spearhead the development of our web-based simulation platform, designed to create a high-performance "Engineering Command Center." This platform will empower our engineering teams to execute, visualize, and analyze intricate simulations at scale. You will play a crucial role in bridging the gap between extensive backend simulation data and an engaging, responsive web interface. This position involves complex tasks such as high-frequency data streaming, 3D rendering (WebGL), and sophisticated data orchestration.This role requires on-site presence five days a week at our Mountain View, CA office!

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission focuses on creating the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access and significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and the experience of driving autonomously for over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are committed to transforming the future of transportation.The Simulator Team at Waymo is at the forefront of innovation, developing advanced simulations that replicate realistic environments for the testing, training, and validation of the Waymo Driver. Our team comprises a diverse, collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers, who are dedicated to crafting industry-leading simulation solutions. Utilizing cutting-edge generative and reconstructive ML algorithms, we model the real world, including realistic agents, road systems, traffic dynamics, weather conditions, and a comprehensive sensor suite (Camera, Lidar, Radar).In this exciting role, you will be instrumental in enhancing the fidelity, scalability, controllability, and richness of our simulations by exploring the latest advancements in 3D world modeling. By leveraging state-of-the-art ML technologies trained on extensive datasets, you will help us create dynamic, semantically rich virtual worlds that have a direct impact on the development and validation of the Waymo Driver.You will report directly to a Senior Staff Engineering Manager.Responsibilities:Lead the design, development, and deployment of innovative 4D world models and generative systems aimed at generating ultra-realistic and controllable sensor outputs and semantics for simulation applications at Waymo.Architect and implement scalable, robust ML pipelines for the training, evaluation, and deployment of large-scale generative models within our simulation framework, employing techniques like model distillation and quantization.Develop and scale production-ready video generation methodologies (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments.Utilize Vision Language Models (VLMs) to enhance semantic comprehension and control within our world simulation products.Collaborate with leading research teams across Waymo and Alphabet to integrate state-of-the-art research in 4D world modeling and generative AI into scalable, production-ready solutions.Provide mentorship and technical guidance to fellow engineers on the team.

Waymo, a pioneer in autonomous driving technology, is 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™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service, while also being adaptable to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, alongside tens of billions of miles simulated across 15+ U.S. states, our mission is clear.As a Senior Technical Program Manager, you will play a vital role in executing Waymo’s roadmap through strategic cross-functional planning and effective risk management. In an environment characterized by complex technical and operational challenges, you will foster meaningful discussions and drive outcomes. Collaborating closely with every department at Waymo, you will structure, lead, and propel initiatives toward the real-world deployment of the Waymo Driver across various platforms and regions.This position follows a hybrid work model, and you will report to the Manager of Technical Program Management.

Waymo is seeking a highly skilled Senior Research Scientist to join our innovative team focused on sensor simulation. In this role, you will be responsible for developing cutting-edge simulation technologies that enhance our autonomous vehicle systems.Your expertise will contribute to improving the accuracy and efficiency of our simulations, playing a crucial role in the advancement of self-driving technology. You will collaborate with cross-functional teams to drive innovation and ensure our systems are at the forefront of the industry.

Waymo is at the forefront of autonomous driving technology, with a vision to become the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™. This innovation aims to enhance mobility access and significantly reduce the fatalities caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is versatile enough to be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and accumulated tens of billions of miles in simulation across over 15 states in the U.S.Our simulator is one of the most sophisticated virtual environments ever created, merging deterministic logic, physical dynamics, and cutting-edge Generative AI to serve as a training ground for the Waymo Driver. The Simulator Evaluation team confronts a profound data challenge: How do we mathematically verify that a virtual world is

Waymo, the leader in autonomous driving technology, aims to be the world's most trusted 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™—to enhance mobility access and significantly reduce traffic-related fatalities. With over ten million rider-only trips facilitated by our technology, which has autonomously navigated more than 100 million miles on public roads and countless simulations across more than 15 U.S. states, we are at the forefront of autonomous transportation.The Waymo Applied Research team is devoted to crafting machine learning solutions that tackle key challenges in autonomous driving, focusing on safely operating Waymo vehicles across diverse cities and under varying driving conditions. We thrive on collaboration, fostering partnerships with other research teams within Alphabet to push the boundaries of innovation.In this hybrid role, you will report to a Technical Lead Manager.

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, Waymo has consistently focused on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives in 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 rider-only trips completed, our technology has accumulated more than 100 million miles driven autonomously on public roads and tens of billions of miles in simulation across 15+ states in the U.S.The Software Quality Operations (SWQOps) team is crucial in ensuring the Waymo Driver’s safety, reliability, and quality. Our mission is to develop a scalable and adaptable operation, increasingly enhanced by AI, to provide essential insights for the confident deployment and expansion of Waymo's autonomous vehicle services.Why This Team is Vital to Waymo’s Growth:As Waymo experiences rapid expansion, targeting approximately 20 new cities by the end of 2026, the SWQOps team is integral to this growth, enabling safe and efficient scaling. The Scenario Operations team within SWQOps is responsible for the effective delivery and maintenance of simulation-based directed testing coverage, which assesses the safety and performance of the Waymo Driver as we scale. As a Technical Specialist in Scenario Operations, you will serve as the Subject Matter Expert, bridging the gap between our simulation software capabilities and real-world operational execution.Your Responsibilities:Tooling Development & Optimization: Collaborate with Product and Engineering teams to design, test, and deploy state-of-the-art simulation tools, ensuring they integrate human-in-the-loop (HITL) precision with AI-driven automation for scalable test coverage.Rapid Issue Response: Lead technical processes for rapid-response simulation-based scenario testing. When field issues arise, leverage your deep understanding of the A/V software stack and our tools to facilitate root-cause analysis and fix validation.Policy Development: Act as a key liaison between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that incorporate advanced tools and insights into daily vendor workflows.Quality Assurance: Oversee quality assurance processes ensuring the integrity and functionality of simulation tools in testing environments.

Waymo is pioneering the future of autonomous driving technology, striving to become the most trusted driver globally. 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™—to enhance mobility access and save lives lost in traffic incidents. With over ten million rider-only trips accomplished through autonomous driving across 100 million miles on public roads and extensive simulation, we are redefining transportation across 15+ U.S. states.The Software Quality Operations (SWQOps) team plays a pivotal role in ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to create an adaptable and scalable operation, significantly powered by AI, to provide the critical insights necessary for the confident deployment and growth of Waymo’s autonomous vehicle service.As Waymo expands into approximately 20 new cities by the end of 2026, the SWQOps team is vital to this growth. The Scenario Operations team is responsible for delivering and maintaining simulation-based directed testing coverage that evaluates the safety and performance of our driver. As a Technical Specialist in Scenario Operations, you will act as the Subject Matter Expert, bridging the gap between our simulation software capabilities and real-world operational execution.Key Responsibilities:Tooling Development & Optimization: Collaborate with Product and Engineering teams to design, test, and deploy state-of-the-art simulation tools that effectively merge human-in-the-loop (HITL) precision with AI-driven automation, ensuring scalable test coverage.Rapid Issue Response: Lead the technical processes for rapid-response simulation-based scenario testing. When issues arise in the field, leverage your comprehensive understanding of the A/V software stack and our tooling to facilitate root-cause analysis and fix validation.Policy Development: Act as the essential link between AI/ML development and operational execution, ensuring alignment and efficiency.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has relentlessly pursued the development of the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million rides successfully completed, our technology has driven over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.This position follows a hybrid work schedule and will report to a Manager of Technical Program Management.Responsibilities:Collaborate with engineering and product management teams to oversee and optimize the use of simulation compute resources.Formulate program frameworks and execution strategies that guarantee project success.Maintain a strong focus on decision-making while effectively communicating trade-offs to stakeholders.Exhibit the ability to influence without direct authority to ensure alignment and communication across all levels for your program.Requirements:Proven experience in large-scale program management, adept at handling multiple projects, diverse stakeholders, and complex team dynamics.A minimum of 5 years in infrastructure, software, or resource and capacity management.Educational background in computer science or a related technical field.A strong track record of delivering impactful strategic communications.

Waymo is at the forefront of autonomous driving technology with a commitment to becoming the most trusted driver in the world. 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 and save thousands of lives lost in traffic accidents. The Waymo Driver has been instrumental in powering Waymo’s fully autonomous ride-hailing service, accruing over ten million rider-only trips, and has autonomously navigated more than 100 million miles on public roads alongside tens of billions of miles in simulation across 15+ states in the U.S.We are launching an innovative team known as SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will play a crucial role in optimizing the utilization of Waymo’s extensive simulation compute, storage, and network resources. SCORPIO will focus on creating data-driven models, metrics, and processes for demand forecasting, capacity planning, and resource allocation optimization, thereby enhancing developer experiences and maximizing infrastructure investment returns.

We are seeking a highly experienced and innovative Director of Software Engineering to lead our Validation Engineering team at LinkedIn. In this role, you will oversee the creation and implementation of cutting-edge software solutions that validate our products and services, ensuring they meet the highest standards of quality and performance. You will collaborate with cross-functional teams to drive strategic initiatives and enhance our engineering capabilities.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission is to enhance mobility access and save countless lives lost to traffic accidents through our advanced Waymo Driver—The World’s Most Experienced Driver™. This technology supports our fully autonomous ride-hail service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, our driver is backed by extensive simulation experience across 15+ U.S. states. Our simulator represents one of the most sophisticated virtual environments ever created, combining deterministic logic, physical dynamics, and cutting-edge Generative AI to serve as a training ground for the Waymo Driver. The Simulator Evaluation team is tasked with a pivotal question: How can we mathematically validate that a virtual world is truly

At Intrinsic Robotics, a pioneering venture backed by Alphabet, we are on a mission to revolutionize industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will transform the landscape of industrial robotics, with software and data at the heart of this evolution. Our goal is to create intelligent, accessible, and user-friendly industrial robotics solutions for an expansive range of businesses, entrepreneurs, and developers. We pride ourselves on being a vibrant team of engineers, roboticists, designers, and technologists dedicated to unlocking the creative and economic potential of robotics.We invite you to apply if you're interested in software engineering positions but don't find a suitable match in our current listings. Our recruitment team will evaluate applications and connect with you if a relevant opportunity arises.Please note, if you apply to this posting, you may not receive a response.We particularly want to hear from you if:You believe in making robotics more accessible for the manufacturing sector.You are skilled in modern software development and have delivered a substantial volume of high-quality software.You thrive on tackling challenging problems in interactive full-stack software, AI, and robotics.You have experience (or a desire) in developing tools and user-friendly interfaces for robotic functionalities. Robot functionalities include, but are not limited to, APIs for creating, editing, and simulating robot workcells, scalable computing infrastructure for microservices, vision algorithms, multi-step task planning, motion and grasp planning, machine learning for complex tasks, and representations for Industry 4.0.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

Role overview Nuro is looking for a Senior Middleware Software Engineer to help build and support the software that powers its autonomous delivery platform. This role focuses on developing and maintaining middleware systems that connect different parts of the technology stack. The work directly impacts the reliability and efficiency of Nuro’s services.