Security Engineering Technical Lead Manager - Aurora Enterprise Security

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.

We are seeking a highly skilled Senior Program Manager - Release Management to join our dynamic team at Cyngn. In this pivotal role, you will lead the planning, execution, and delivery of software releases, ensuring that projects meet deadlines and quality standards. Your leadership will be vital in coordinating cross-functional teams, managing project timelines, and mitigating risks.As a Senior Program Manager, you will be responsible for developing and maintaining project documentation, facilitating stakeholder communication, and driving continuous improvement initiatives. Your expertise in release management will help streamline processes and enhance team productivity.

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.

Be Part of the Revolution in Home RoboticsAt sunday, we are pioneering the development of personal robots designed to help you reclaim valuable time lost to mundane tasks. Our ambitious mission is to make versatile robots accessible to everyone, allowing households to enjoy more quality moments together.After 18 months of assembling a skilled team, securing funding, and validating our innovative technology, we are in search of dedicated individuals to join us in this exciting phase of growth. If you're eager to leverage your skills at the cutting edge of robotics, we want to hear from you!Your RoleAs an Infrastructure & Release Engineer, you will take ownership of the

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.

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

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 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 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.

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, committed 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™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has driven over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.The Perception team is responsible for designing systems that learn spatial-temporal representations and their semantic meanings within the self-driving car's environment. We collaborate with downstream teams for optimization and integration into the Waymo Driver. Our research addresses real-world challenges while working alongside Alphabet's research teams. By utilizing millions of miles of driving data from diverse sensors, engineers are empowered to (1) create efficient learning methods from large-scale real-world data, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage the complexities of real-world interactions, and (4) optimize models for both our onboard and offboard hardware.In this hybrid role, you will report directly to a Senior Staff Technical Lead Manager.

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, our mission is to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hail service but can also be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, alongside extensive simulation experience across 15+ U.S. states, our impact is profound.The Planner Reasoning Team plays a crucial role in shaping the Waymo Driver’s behavior and extends its influence throughout the organization. As a Staff Technical Lead, you will be instrumental in scaling the performance of the Waymo Driver and enhancing our renowned safety standards as we expand our services to additional cities.

About NuroNuro is a pioneering self-driving technology firm that aims to democratize access to autonomous driving. Established in 2016, we are dedicated to developing the world's most scalable autonomous driving solution, merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed widely to enable diverse applications ranging from robotaxis and commercial fleets to private vehicles. With a proven track record in autonomous deployments, we provide automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewAt Nuro, we employ a machine-learning-first strategy in our autonomous driving technology. The efficacy of our systems heavily relies on the quality and diversity of training and evaluation data. Our team plays a vital role by ensuring access to high-quality labeled data through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. The autonomy stack integrates an industry-leading array of sensors, necessitating our tools to efficiently process and annotate millions of sensor data points, handling millions of scenes weekly.Our platform team is committed to making labeled data readily accessible to all users. The system is designed to be both reliable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. Close collaboration with autonomy engineers is essential to guarantee the high quality and comprehensiveness of our labeled data. As we prepare for expanded service rollouts, capturing and swiftly triaging all issues is more critical than ever.Key ResponsibilitiesDesign and implement highly available, fault-tolerant systems for data annotation.Productionize core infrastructure for our cutting-edge autonomy system.Enhance label quality through data-driven metrics and monitoring.Leverage advanced machine learning research to automate and optimize the data labeling lifecycle.

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 mission is to enhance mobility access and save lives through innovative solutions. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hail service and adapts to various vehicle platforms and use cases. With over ten million rider-only trips and 100 million miles driven autonomously on public roads, we are transforming the future of transportation.We are on the lookout for a seasoned Technical Lead Manager (TLM) to spearhead our Vehicle Understanding team. In this pivotal role, you will oversee production modules related to Vehicle Understanding for the Waymo Driver, focusing on vehicle classification, states, and intents. This position is crucial for Waymo's expansion both domestically and internationally, allowing you to make a significant impact and drive innovative changes that enhance the generalizability of the Waymo Driver.In this hybrid position, you will report directly to our Senior Staff TLM of Semantics Understanding.