Technical Lead Manager, Simulator Efficiency

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, 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.

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, 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 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 vision to become the world's most reliable driver. Originally launched as the Google Self-Driving Car Project in 2009, Waymo is dedicated to enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver—The World's Most Experienced Driver™—powers our fully autonomous ride-hailing service and has been successfully deployed across multiple vehicle platforms. With over ten million rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, Waymo's capabilities continue to expand across 15+ U.S. states.As a Technical Lead Manager within our Planner team, you will maintain and enhance a high-impact system that is vital to Waymo's autonomous driving technology. Collaborating with diverse teams, you will develop innovative solutions that address both common driving scenarios and rare, complex situations.

Join Waymo as a Technical Lead Manager for our Release Health team. In this pivotal role, you will oversee the technical direction and development of our vehicle release processes. You will lead a talented team, ensuring the highest standards of quality and efficiency in our software releases, ultimately contributing to the safety and reliability of our autonomous vehicles.

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 dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads and countless simulations, Waymo is at the forefront of the transportation revolution.Our Software Engineering team is the brain behind Waymo's fully autonomous driving technology. Our innovative software empowers the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe travel for passengers. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, all while collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher interested in Level 4 autonomous driving, we encourage you to connect with us.In this hybrid position, you will report directly to a Technical Lead Manager, Senior Staff Engineer.

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.

About ID.me ID.me provides a digital identity wallet that helps individuals securely verify their identity online. With a single verification, users can access multiple platforms without repeating the process. Over 152 million people use ID.me for login and identity checks across 20 federal agencies, 45 state governments, and more than 70 healthcare organizations. More than 600 brands also use ID.me to authenticate communities and user groups. The platform complies with federal authentication standards and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me’s mission, "No Identity Left Behind," aims to make secure digital identity available to everyone. Learn more at https://network.id.me/. Role Overview ID.me seeks a Principal Technical Lead Manager (TLM) to lead engineering for Workforce Solutions in Mountain View, California. This team builds systems for employment verification, employer onboarding, and compliance integrations, helping millions of Americans prove employment and access benefits. The position sits within the Customer Domains organization and combines technical leadership with people management for a core B2B area. The Workforce team develops the platform that connects ID.me with enterprise HR systems, payroll providers, government agencies, and benefits administrators. This work enables employees to show job status, wage history, and benefit eligibility, making processes like mortgage applications, unemployment claims, and public benefits onboarding smoother. The role requires careful attention to privacy and compliance, working at the intersection of identity, HR technology, and regulatory requirements. As Principal TLM, responsibilities include shaping the technical architecture of the Workforce platform and supporting the engineering team’s growth and effectiveness. The role involves close collaboration with Product, Legal, Security, and enterprise partners to deliver on a roadmap that balances speed with compliance. Candidates should bring deep experience with backend systems, a strong track record of leading high-performing teams, and enthusiasm for building new solutions.

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 is seeking a Staff Technical Lead Manager to join the Behaviors team, based in either Mountain View or San Francisco, CA. This team is dedicated to advancing autonomous driving by improving the algorithms that shape vehicle behavior on the road. Role overview This position centers on leading efforts to enhance how autonomous vehicles make real-time decisions. The work directly impacts the safety and efficiency of Waymo's self-driving technology. What you will do Lead projects that shape the decision-making processes of autonomous vehicles Collaborate with engineers and researchers to develop and optimize algorithms focused on safety and operational efficiency Provide technical guidance and mentor team members to support their growth Locations Mountain View, CA, USA San Francisco, CA, USA

About UsNuro is at the forefront of autonomous technology, dedicated to making self-driving capabilities accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver, integrating advanced AI with industry-standard automotive hardware. Our core technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of autonomous deployments, Nuro provides automakers and mobility platforms a pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAs a Systems Engineering Technical Program Manager (TPM) at Nuro, you will play a crucial role in ensuring the robustness of our autonomous vehicle platform. Your focus will be on the challenging scenarios our systems must navigate, emphasizing the technical depth of our validation processes. This is not merely a scheduling position; you will work closely with the Autonomy, Simulation, and Systems Engineering teams to enhance the technical integrity of our validation program. This involves defining scenario sets, structuring fault injection strategies, and ensuring that our simulation coverage is meaningful and systematically advancing.Key ResponsibilitiesScenario & Coverage StrategyDeeply analyze complex scene sets for autonomy validation, ensuring coverage addresses safety-critical, edge-case, and adversarial scenarios based on real-world data and system requirements.Develop the technical framework for assessing validation coverage: identifying what is covered, recognizing gaps, and determining engineering actions to address them.Collaborate with systems engineers to convert system-level requirements and failure modes into precise, testable scenario definitions.Large-Scale SimulationLead the technical design of extensive simulation campaigns, including scenario selection, variation strategies, metrics definition, and result analysis.Coordinate with simulation and infrastructure teams to ensure campaign designs yield valuable insights: selecting optimal scenarios, achieving the right fidelity, and producing results that inform actionable engineering decisions.Identify and address instances where simulation results may be inconclusive or misleading, facilitating discussions to resolve these issues.

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 ultimately save lives lost to traffic incidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and more than 100 million miles driven autonomously on public roads, along with extensive simulation across over 15 U.S. states, we are redefining transportation.The Software Engineering team is the brain behind Waymo’s autonomous driving capability. Our systems empower the Waymo Driver to accurately perceive its surroundings, make informed decisions, and safely transport individuals to their destinations. We tackle complex technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is essential in providing clean, optimized sensor data through robust APIs to our Perception models. We aim to abstract hardware differences and deliver low-level Perception signals using advanced algorithms or machine learning approaches. Team projects require a versatile skill set, including robotics, system integration, code optimization, and machine learning expertise.Within the Optimization sub-team, we leverage our knowledge of CPUs, GPUs, and sophisticated algorithms to rapidly process Waymo’s sensor data, feeding it into Perception ML models. Our focus on low-level compute hardware understanding allows us to apply this knowledge throughout the entire technology stack. We are seeking a Tech-Lead Manager with expertise in CPU, GPU, or system-level optimization to guide our small team of Software Engineers. Depending on your experience, you may also oversee system-level optimization and manage our compute resources.This position follows a hybrid work model and reports directly to the Technical Lead Manager of the Sensor Foundations team.

Who We AreNuro is at the forefront of self-driving technology, dedicated to democratizing access to autonomy. Established in 2016, our mission is to create the world's most scalable self-driving system by integrating advanced AI with automotive-grade hardware. We license our flagship technology, the Nuro Driver™, across various applications including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro paves the way for automakers and mobility platforms to achieve commercial-scale autonomous vehicles, contributing to a safer, more connected future.About the RoleWe are seeking an innovative Autonomy Leader to spearhead the technical roadmap for the systems that validate and verify the intelligence of the Nuro Driver. You will lead the creation of evaluation tools that ensure our technology can scale safely to millions of users. This role involves addressing real-world robotics challenges and enhancing everyday lives by bridging the divide between simulation and reality.Intelligent Agents: Design and implement advanced evaluation agents that simulate complex interactions.Intelligent Metrics: Develop sophisticated algorithms to measure the cognitive performance of the machine learning models that govern our self-driving car's behavior, leveraging physics-based modeling and machine learning.Close the Learning Loop: Utilize these evaluation frameworks to pinpoint specific behavioral weaknesses in the Nuro Driver, leading technical execution to enhance the agent's decision-making logic.Define the Technical Architecture: Collaborate with Autonomy and Infrastructure engineers to establish a cohesive roadmap that integrates evaluation frameworks, progressing towards automated, data-driven validation.

Role Overview:As the Senior Technical Lead Manager for the Core Platform team at Moveworks, you’ll spearhead the development of our foundational platforms. In this fast-paced environment, your team will be essential in designing and managing robust platforms and frameworks that empower various products and engineering teams to deliver customer-facing solutions swiftly. We're focused on rapid problem-solving, tackling complex engineering challenges, and maximizing value for our clients.In this pivotal role, you will collaborate closely with teams specializing in machine learning, search, product development, data analysis, and full-stack engineering. Your mission will be to identify, define, and implement innovative solutions, contributing significantly to the success of the fastest-growing AI startup in the industry.Lead the evolution of core platform building blocks and frameworks, prioritizing developer productivity, reliability, scalability, performance, and security.Engage with machine learning, search, product, data, and frontend teams to understand their platform requirements, influence the roadmap, and execute various projects.Architect and develop core platforms including content ingestion, crawler framework, permissions enforcement, identity management, and content retrieval systems.Establish methodologies and metrics to assess the performance of core services, identify bottlenecks, and enhance the overall performance and scalability of Moveworks’ technology stack.Recruit and mentor engineers, promoting a culture of technical excellence, collaboration, and continuous improvement.

Join Our Mission at NuroNuro is pioneering the realm of self-driving technology with a vision to make autonomy accessible to everyone. Established in 2016, we are engineering the world’s most scalable driving solution by merging advanced AI with resilient automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for a variety of applications, from robotaxis to commercial fleets and private vehicles. With years of successful deployments, Nuro offers automakers and mobility platforms a streamlined pathway to commercial-scale autonomous vehicles, cultivating a safer, more integrated future.Role OverviewNuro is in search of a seasoned Technical Lead Manager with robust experience in large-scale infrastructure and workload orchestration, along with proficiency in batch and streaming data processing systems, to enhance our ML Infrastructure team. In this pivotal role, you will spearhead the development of our core platform, guaranteeing our researchers and engineers have uninterrupted access to the compute and data resources vital for advancing autonomous driving technology.As a Technical Lead Manager, you will define the strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management. You will strike a balance between hands-on technical leadership and effective people management, guiding a talented team while collaborating closely with ML Research and Autonomy teams to remove infrastructure bottlenecks and expedite the Nuro Driver™ development process.Key ResponsibilitiesAs the Technical Lead Manager for ML Platform Infrastructure, you will construct the backbone that fuels Nuro’s model development journey from experimentation to production, including:Technical Strategy Development: Crafting a roadmap for a cohesive ML platform that simplifies complex cloud infrastructure.Resource Provisioning & IaC: Expanding our automated infrastructure-as-code (IaC) pipelines to oversee thousands of GPU/CPU nodes across multiple environments.Intelligent Scheduling: Engineering and fine-tuning workload orchestration to optimize hardware use, minimize job wait times, and manage extensive distributed training.Data Processing & ETL: Creating robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into machine learning-ready formats.Feature Management: Implementing effective feature caching and storage solutions to diminish redundant computations and guarantee quick access to pre-computed features.Team Leadership: Fostering a high-performance culture while mentoring team members.

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 committed to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. With the Waymo Driver powering our fully autonomous ride-hail service, we have achieved over ten million rider-only trips, backed by more than 100 million miles driven autonomously on public roads and tens of billions of miles simulated across 15+ U.S. states.The Waymo Mapping Team is on a mission to create a high-resolution map of the world to ensure safe autonomous driving. Our innovative approach combines automated and manual mapping techniques, alongside building the necessary infrastructure to store, process, and disseminate mapping data. Collaboration is key as our team partners with various Waymo divisions that depend on map data.In this role, you will:Lead a dynamic team focused on Field Response infrastructure, driving the next phase of Waymo’s rapid expansion.Own the strategy and roadmap for Mapping change detection, a pivotal element in scaling our mapping capabilities.Recruit and mentor a team of engineers to tackle complex business challenges and technical obstacles.Design and implement mission-critical systems that enable low-latency responses from Waymo’s fleet signals.Build resilient backend infrastructure and data processing systems that can scale with Waymo’s growth.You have:A seasoned managerial background, enthusiastic about leading teams while maintaining technical expertise.Proven experience as a backend engineer, with a history of building server-side infrastructure and effective data processing systems.Strong programming skills, with C++ being highly preferred.Over 7 years of total professional experience, including at least 2 years in a managerial role.A robust sense of ownership and the ability to navigate uncertainty effectively.A successful track record of guiding teams through complex technical challenges.It’s a bonus if you possess:Experience in Mapping and Localization.Background in the Autonomous Vehicle industry.Experience in hiring and developing a new team.#Li-Hybrid

At Intrinsic Robotics, part of Google’s AI robotics division, we are redefining the future of industrial robotics through cutting-edge advancements in AI, perception, and simulation. Our mission is to make intelligent robotics accessible to countless businesses, entrepreneurs, and developers. Our dedicated team of engineers, roboticists, designers, and technologists is committed to unlocking the economic and creative potential of industrial robotics.Role OverviewAs the Technical Lead Manager for the Extensibility Squad, you will play a pivotal role in enabling software developers to leverage the Intrinsic platform APIs and utilize our tools to enhance Flowstate. You will lead an engineering team focused on improving our platform's software accessibility for external users, while also fostering close collaboration with ROS and other open-source ecosystems. This position requires a blend of technical leadership, hands-on contribution, and people management, where you will guide the technical direction, mentor your team, and work directly with our SDK, primarily using C++, Python, Protobuf, and a growing TypeScript codebase.Impact of Your WorkEmpower developers by enhancing their access to the Intrinsic platform APIs and tools for Flowstate.Lead initiatives to improve software accessibility for external users.Drive technical integration with ROS and other open-source platforms.Mentor and support engineers in their professional growth while actively contributing to projects.

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.