Senior Vehicle Dynamics Simulation Engineer

Waymo, a leader in autonomous driving technology, is 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 significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our 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 Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.

Join Waymo, a pioneering autonomous driving technology company dedicated to creating the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant advancements in developing the Waymo Driver—The World's Most Experienced Driver™. Our mission is to enhance mobility and save lives by providing safe, fully autonomous ride-hail services. With over ten million rides completed and more than 100 million miles driven autonomously across 15+ U.S. states, we are at the forefront of innovation in transportation. As a Software Engineer specializing in Vehicle Dynamics Planning, you will:Collaborate with a dynamic team to ensure our vehicles operate safely and comfortably in complex environments with unpredictable inputs.Develop and implement algorithms to assess and enhance the performance of cutting-edge technologies, ensuring adaptability across various urban landscapes and weather conditions.Engage in groundbreaking projects that integrate traditional robotics with modern machine learning techniques.

Join Waymo as a Senior Back-End Software Engineer in our Simulation team, where you will play a vital role in building and enhancing our cutting-edge autonomous driving technologies. You will be responsible for designing and implementing robust back-end systems that support our simulation environments, helping to ensure the safety and efficiency of our self-driving vehicles.Your contributions will directly impact the future of transportation and make a difference in how people move through the world.

About Us Nuro is a pioneering self-driving technology firm focused on democratizing autonomy for everyone. Established in 2016, we are on a mission to create the world's most scalable autonomous driver. Our innovative approach blends advanced AI with automotive-grade hardware, allowing us to license our core technology, the Nuro Driver™, across diverse applications including robotaxis, commercial fleets, and personal vehicles. Our proven technology, tested through numerous self-driving deployments, provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future. Position OverviewWe are excited to expand our robotics team and are seeking a talented Senior Software Engineer to join our Sensor Data and Calibration unit. The ideal candidate will possess a strong background in robotics and machine learning, with a focus on developing sophisticated synthetic sensor simulation models and algorithms. Experience in research, development, and application of machine learning techniques (such as NeRF or Gaussian splatting) for generating synthetic sensor data, including photorealistic images and realistic LiDAR or radar outputs, is essential. Key Responsibilities Research and create cutting-edge synthetic sensor simulation methodologies. Evaluate and characterize the realism and effectiveness of synthetic sensor data. Address essential inquiries regarding sensor data and autonomous performance. Collaborate with various teams across autonomy, infrastructure, and systems to define mapping requirements. Qualifications One of the following: PhD in machine learning, computer science, electrical engineering, robotics, or a related field, with 3+ years of industry experience. Master's degree with 4+ years of industry experience. 5+ years of industry experience. In-depth knowledge of machine learning fundamentals with practical experience in training and assessing contemporary ML models. Proficient in Python, with experience in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Preferred Qualifications Strong grasp of 3D geometry and state estimation principles. Experience in systems-level coding. Familiarity with simulating and modeling real sensors (camera, LiDAR, radar, IMU, etc.), including noise modeling. Expertise in modern ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

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 accidents. Powering Waymo’s fully autonomous ride-hailing platform, the Waymo Driver is adaptable across various vehicle types and applications. With over ten million rider-only trips achieved and a remarkable track record of driving more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is at the forefront of transforming transportation.The Driver Understanding and Evaluation team at Waymo is crucial in developing an in-depth understanding of the Waymo Driver's behavior. With an impressive capacity of over one million driverless miles each week, it is essential for Waymo to comprehend and evaluate all vehicle behaviors—both in real-world scenarios and simulations—through automated algorithms. The learned metrics team is a strategic initiative employing machine learning to scale and meet Waymo's ambitious goals. We work collaboratively across various teams to transition machine learning into production systems and establish Waymo’s reward function. Our focus is on building and maintaining large-scale machine learning and data systems, simulation workflows, and analytical tools. By merging expert human insights with cutting-edge machine learning models, we provide training and evaluation data for the Waymo driver. We seek enthusiastic researchers and software engineers who are passionate about creating robust production-grade machine learning systems for our autonomous vehicles and possess an unwavering commitment to enhancing our technology stack's performance.

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.

At Reliable Robotics, we are pioneering innovative safety technologies for the aviation industry that have the potential to save lives. Our vision is to create automated aviation systems that will revolutionize air transportation, making it safer, more accessible, and fundamentally transformative in the movement of goods and people across the globe. Our dedicated team consists of mission-focused engineers with diverse expertise in aerospace, robotics, and autonomous vehicles, working diligently to turn this vision into reality.As a Senior Simulation Software Engineer, you will be instrumental in developing and enhancing our simulation software stack. This includes ensuring optimal framework performance, modeling flight dynamics, emulating hardware, and establishing a robust simulation-based testing infrastructure.

Join Waymo as a Senior Software Engineer specializing in Simulation Infrastructure, where you will lead the development of innovative simulation tools and frameworks that enhance our self-driving technology. You will collaborate with cross-functional teams to design robust software solutions that drive our mission to make transportation safer and more accessible through autonomous driving.

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 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.

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, our focus has been 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 is the driving force behind our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, we have amassed experience driving autonomously over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.The Simulator Team at Waymo creates advanced simulations of realistic environments for testing and training the Waymo Driver. We leverage cutting-edge machine learning algorithms to assess and improve the Waymo Driver's performance. As our simulation platform evolves, this technical leadership position will oversee the strategy for the entire Simulator software stack, ensuring it scales with emerging simulation technologies and Waymo’s growth. Your responsibilities will encompass low-level optimization through to high-level configuration, all aimed at enhancing resource utilization (CPU/RAM/TPU/GPU). You will spearhead the Simulator Platform's efficiency initiatives and represent the team in broader performance-related projects within Waymo.In this hybrid role, you will report to a Director of Software Engineering.

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.

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.

At MatX, we are committed to pioneering the compute platform for Artificial General Intelligence (AGI). Our team is engaged in creating comprehensive, vertically integrated full-stack solutions ranging from silicon to systems, incorporating both hardware and software to effectively train and execute the largest machine learning workloads necessary for AGI. Our primary programming language is Rust.Key Responsibilities:Design and sustain functional and performance models of our hardware systems.Create tools and infrastructure to enhance the efficiency of correlation, debugging, and testing processes.Collaborate closely with model stakeholders including architecture, verification/validation, compiler, and runtime teams.Engage in architectural decisions and participate in review processes.Explore and implement performance optimization strategies.

Waymo is a pioneering company 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 committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost in traffic accidents. Our technology powers a fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions of simulation miles across 15+ U.S. states, we are at the forefront of this transformative journey.The Simulation ML Infrastructure team is focused on creating scalable AI/ML infrastructure that accelerates the Simulator team in developing state-of-the-art realistic simulations for testing and training the Waymo Driver. To enhance the realism and steerability of these simulations, we leverage large foundation models trained on vast datasets to accurately represent the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), road systems, traffic control measures, and environmental conditions.We are looking for a seasoned senior individual contributor to spearhead the advancement of sophisticated AI/ML infrastructure for multi-billion parameter foundation models within ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be essential in designing and scaling our systems.This position reports to an Engineering Manager.Your Responsibilities:Join a top-tier, high-performing research engineering team to push the boundaries of ultra-realistic multi-agent simulations using foundation models.Collaborate closely with the Waymo Realism Modeling team located in London and the Waymo Oxford team to utilize large foundation models for enhancing simulation realism.Operate at the intersection of data engineering, model development, and simulations, making architectural decisions. Take ownership of large, complex systems, and ensure that architectures and designs align with both technical and business objectives.Design and scale extensive distributed systems that encompass the entire ML lifecycle, facilitating planet-scale dataset generation, model training, and evaluation.Work cross-functionally to derive performance and system-level requirements for large ML systems. Convert product and business goals into measurable technical deliverables, ensuring alignment of system components.

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.

Waymo, a leader in autonomous driving technology, is on a mission to become 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 ultimately save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications, having successfully completed over ten million rider-only trips while autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.Our Hardware Engineering team comprises a vibrant mix of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, building, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into vehicle platforms. We are looking for innovative and talented individuals to join us on this exciting journey.The Embedded Simulation team is critical to Waymo’s rapid scaling of the Waymo Driver across new vehicle and hardware platforms, as well as accelerating the development of our embedded and reliability software systems. We create tailored test environments for embedded and hardware applications and incorporate our technology into comprehensive system behavioral simulations.In this role, you will report to the Senior Director of R&D Software Engineering.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are on a mission to construct the most scalable autonomous driver, merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis and commercial fleets to personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercially viable autonomous vehicles, fostering a future that is safer, more connected, and enriched. About the RoleSimulation plays a crucial role in the development of autonomous technology. Our Simulation team is tasked with creating a powerful simulator that underpins all simulations at Nuro, enabling us to confidently develop and test our self-driving technologies. The team tackles a variety of novel simulation challenges, employing innovative and creative approaches—ranging from synthesizing sensor data and automating scenario generation to optimizing performance and resources. Collaboration with various teams across the company allows us to broaden the horizons of what can be simulated. About the Work Enhance the functionality, performance, and user experience of our simulator. Develop inventive strategies to elevate simulation realism and coverage through synthesis. Design and implement solutions to streamline interactions among complex systems. Engage in diverse projects, from new greenfield initiatives to scaling existing systems. Work closely with autonomy engineers to deepen your understanding of autonomous systems and devise optimal solutions.

Who We AreGatik, a pioneer in autonomous middle-mile logistics, is transforming the B2B supply chain through its innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize reliable and safe deliveries while optimizing freight movements to alleviate congestion. Our focus is on short-haul, B2B logistics for Fortune 500 retailers, and in 2021, we introduced the world’s first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are now operational in key markets, including Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is engineered for safe and efficient freight transport between pick-up and drop-off locations on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ is an all-in-one solution that combines state-of-the-art software and hardware, seamlessly integrating into our customers' logistics operations.About the RoleWe are developing a high-scale, web-based simulation platform designed to validate autonomous systems. Our R&D team is producing AI/ML models, and we have a Senior Full-Stack Engineer working on the platform interface. We are looking for a Simulation Integration Engineer to serve as a vital technical bridge between these two teams. Your mission will be to ensure that the autonomy stack operates reliably within a virtual environment, creating complex testing scenarios and ROS2 infrastructure necessary for stress-testing our AI models.This is a 'Sim-to-Stack' orchestration role. While you won't be deploying to physical hardware, you will be responsible for ensuring the virtual world provides high-fidelity data to the autonomy stack and accurately reflects the model's performance.