Program Manager, ML Data Flywheel

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo develops the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. Our fully autonomous ride-hail service has completed over ten million rider-only trips, thanks to the Waymo Driver's 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 Software Engineering team is instrumental in crafting the intelligence behind Waymo's autonomous driving technology. Our sophisticated software empowers the Waymo Driver to interpret its surroundings, make critical decisions in real-time, and transport passengers safely to their destinations. We tackle complex technical challenges in fields such as robotics, perception, decision-making, and deep learning, working closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we invite you to apply.Every mile logged by a Waymo vehicle generates a unique and invaluable dataset, which is crucial for refining our machine learning models and enhancing the safety and efficacy of the Waymo Driver. You will lead the architecture of a comprehensive data-driven self-improvement loop that integrates every autonomous mile into our machine learning processes. This involves collaboration with Waymo's infrastructure, modeling, and evaluation teams to continuously scale and improve the entire ML lifecycle.In this role, you will report to our Distinguished Engineer, Foundation Models.

Join Waymo as a Principal Software Engineer, ML System Architect, where you'll leverage your expertise in machine learning to architect innovative software solutions. As a core member of our engineering team, you will be instrumental in shaping the future of autonomous driving technology.

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.

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

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 tirelessly worked 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 fuels our fully autonomous ride-hailing service and can adapt to various vehicle platforms and applications. With over ten million rider-only trips completed, Waymo has amassed more than 100 million miles driven autonomously on public roads, supplemented by tens of billions of simulated miles across 15+ U.S. states.The Perception team at Waymo is instrumental in crafting the technology that empowers the Waymo Driver. Our advanced models enable the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe passage for passengers. Engaging in research to tackle real-world challenges, we collaborate closely with Alphabet's research teams. Our access to extensive driving data from diverse sensors allows machine learning practitioners to develop scalable multi-modal models and techniques.You will report directly to our Director of Engineering within the Perception Organization.

Join our innovative team at LinkedIn as a Principal Staff Software Engineer specializing in Trust. In this pivotal role, you will lead the development of scalable and secure systems, ensuring user trust and data integrity. Collaborate with cross-functional teams to design, implement, and optimize solutions that enhance the platform's security and user experience.As a key contributor, you will leverage your expertise in software engineering and security practices to influence product direction and drive technical excellence. Your leadership will empower teams to deliver high-quality software that meets our users' needs and expectations.

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.

At Databricks, we are dedicated to empowering data and AI teams to tackle some of the world's most significant challenges — from transforming transportation to expediting medical innovations. Our mission is to create and maintain the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their businesses. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to address technical challenges, whether it’s designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines. And we are just getting started. As a member of the ML/AI Environments team, you will develop the systems that allow AI researchers and engineers to effortlessly establish their desired training and serving environments. You’ll join a high-agency, high-visibility team at the cutting edge of AI infrastructure, closely connected to research, product development, and real-world enterprise applications. Databricks Mosaic AI is one of our fastest-growing sectors, assisting thousands of customers in democratizing AI within their organizations. We are building the infrastructure that fuels the next generation of AI.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

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 is seeking a Principal Software Engineer focused on Onboard Field Response to help advance autonomous driving technology. This position is based in Mountain View, CA. Role overview This role centers on improving how autonomous vehicles respond in real-world environments. The Principal Software Engineer will design and implement software for onboard systems, working to ensure vehicles operate smoothly and efficiently. What you will do Design and build software solutions for onboard field response Collaborate with cross-functional teams to integrate and refine technology Contribute to the ongoing innovation of Waymo's autonomous vehicle systems Requirements Expertise in software engineering and a strong background in developing solutions for complex systems are essential for this role.

Join Our Team!The Ads Infrastructure team at Unity Technologies is at the forefront of building and managing the backbone of one of the world’s largest real-time advertising platforms. Our robust infrastructure supports every aspect of Unity Ads, facilitating segmentation, optimization, bidding, traffic routing, experimentation, and analytics on a global scale.We prioritize the development of resilient, scalable, and cost-effective systems that handle immense traffic volumes across various regions while adhering to stringent latency and availability standards. Our platform leverages cutting-edge technologies such as Kubernetes, Kafka, Flink, Starrocks, Valkey, and other cloud-native components, empowering engineers, data scientists, and product teams to propel Unity Ads towards success.This senior individual contributor position holds significant technical influence across the organization. You will take ownership of pivotal architectural decisions, guide long-term platform advancements, and collaborate with team members, senior managers, and directors to shape the technical trajectory of Ads Infrastructure while maintaining a hands-on approach.

ID.me seeks a Principal Technical Lead Manager to guide two core engineering teams: Organization Platform and Data Acquisition & Normalization. This leadership role is based in Mountain View, California. Role overview The Principal Technical Lead Manager will shape how organizations are represented, validated, and trusted within the ID.me Identity Trust Graph. The position also oversees management of attribute data that supports trust decisions across the platform. Organization Platform This team is responsible for building and maintaining APIs and services that create, validate, and manage organization records. Key areas include application management, domain verification, business onboarding, and managing relationships between organizations. Their work enables developer portal adoption, partner integrations, and supports downstream identity workflows by providing an authoritative source for business and institution representation. Data Acquisition & Normalization This group develops connectors to authoritative and commercial data sources, such as government registries, telecom providers, and licensing authorities. The team standardizes varied data into common schemas and integrates validated attributes into the trust graph at internet scale. What you will do Oversee technical architecture, delivery, reliability, and operational health for both the Organization Platform and Data Acquisition & Normalization teams. Support the growth and performance of engineering teams working on these platforms. Work closely with Product and other stakeholders to ensure alignment and successful outcomes. This position is located in Mountain View, California.

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.

Join logos-space as a Lead Engineer specializing in Flight Software Development. In this critical role, you will spearhead the design, implementation, and testing of cutting-edge software solutions that drive our innovative flight technologies. You will collaborate with cross-functional teams to ensure the highest standards of safety and performance are met in our aerospace applications.

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.

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

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.