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You will:Develop cutting-edge labeling infrastructure to facilitate the production of labeled datasets. Enhance the "data flywheel" efficiency through process automation and rigorous monitoring. Collaborate with labeling operations teams to optimize processes and construct tools for managing large teams and effectively distributing tasks. You have:A Bachelor's degree in Computer Science, Engineering, or a closely related field, along with 3+ years of relevant experience. Proven experience in developing data annotation and review tools, such as ML labeling and content reviews for trust and safety. Skills in building API servers and web backends. Experience in designing, optimizing, debugging, and maintaining large-scale data processing pipelines. Proficiency in TypeScript and/or frontend frameworks like Angular or ReactJS. We prefer:Experience in creating diverse data annotation tools and infrastructure. Understanding of how labeled datasets fit within the entire ML ecosystem. Programming experience in C++ and Python. Hands-on experience with LLM/GenAI products.
About the job
Waymo is at the forefront of autonomous driving technology, committed 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™—aiming to enhance mobility access and prevent the thousands of lives lost to traffic accidents. The Waymo Driver is the backbone of 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 more than 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states, we are revolutionizing transportation.
The Labeling Platform Team is pivotal in creating data solutions that fuel innovative research and development throughout all phases of the ML Lifecycle: pretraining, supervised fine-tuning, and reinforcement learning. The high-quality labeled data produced by our team is essential for enhancing the Waymo Driver and various models that support broader business initiatives.
About Waymo LLC
Waymo LLC is a pioneering technology company specializing in autonomous vehicles. With a mission to improve road safety and accessibility, Waymo is dedicated to developing advanced driving solutions that enhance transportation for everyone.
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Search for Senior Staff Software Engineer Labeling Platform
Full-time|$235K/yr - $352.3K/yr|On-site|Mountain View, California (HQ)
About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and 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 state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.
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At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.
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About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...
Full-time|$170K/yr - $216K/yr|Hybrid|Mountain View, CA, USA
Waymo is at the forefront of autonomous driving technology, committed 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™—aiming to enhance mobility access and prevent the thousands of lives lost to traffic accidents. The Waymo Driver is the backbone of 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 more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, we are revolutionizing transportation.The Labeling Platform Team is pivotal in creating data solutions that fuel innovative research and development throughout all phases of the ML Lifecycle: pretraining, supervised fine-tuning, and reinforcement learning. The high-quality labeled data produced by our team is essential for enhancing the Waymo Driver and various models that support broader business initiatives.
Join Moveworks as a Staff Software Engineer and play a pivotal role in enhancing our Core Platform. You will collaborate closely with cross-functional teams to design, develop, and implement innovative software solutions that drive efficiency and improve user experiences.
Full-time|$193.9K/yr - $352.3K/yr|On-site|Mountain View, California (HQ)
About NuroNuro is a pioneering self-driving technology firm dedicated to making autonomous solutions accessible to everyone. Established in 2016, Nuro is on a mission to create the most scalable self-driving driver, integrating advanced AI with automotive-grade hardware. Our innovative technology, known as the Nuro Driver™, is licensed to support a myriad of applications, from robotaxis and commercial fleets to personal vehicles. With years of proven technology through extensive self-driving deployments, Nuro offers automakers and mobility platforms a clear pathway to fully autonomous vehicles at a commercial scale—shaping a safer, more enriched, and interconnected future.Role OverviewAt Nuro, we adopt a machine-learning-first approach to our autonomous driving technology. In such a system, the performance hinges on the quantity and diversity of training and evaluation data.Your team will play a pivotal role in enhancing autonomous driving systems by developing a scalable and reliable data infrastructure. This infrastructure will generate training and evaluation data sourced from both real-world logs and simulation logs. Furthermore, close collaboration with system engineers is essential to validate our autonomous driving systems comprehensively before deployment.Key ResponsibilitiesDesign and develop integrated, introspectable, large-scale batch and streaming data processing systems that can handle varied data relevant to evaluation.Create a robust storage system capable of managing both high volumes and diverse performance metrics.Build intuitive dashboards and reports to display evaluation outcomes, enabling clear comparisons that illustrate both advancements and setbacks.Design and implement complete end-to-end data pipelines that ensure a seamless transition from data ingestion to final consumption.Establish and sustain continuous testing and monitoring systems to uphold the integrity and reliability of our data and its associated pipelines.
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Speechify aims to remove barriers to learning using technology that makes reading more accessible. With a user base of over 50 million, the platform converts materials like PDFs, books, Google Docs, news articles, and websites into audio. This helps people read faster and retain more. Products include apps for iOS, Android, Mac, a Chrome extension, and a web app. Speechify has earned recognition from Google as Chrome Extension of the Year and received the 2025 Apple Design Award for Inclusivity. The company operates with a fully distributed team of about 200 people. Team members include frontend and backend engineers, AI research scientists, and professionals from organizations such as Amazon, Microsoft, Google, Stripe, and Vercel. Role Overview The Software Engineer, Platform role centers on designing, building, and maintaining backend services. These services include payments, analytics, subscriptions, text-to-speech features, and external APIs. The position suits engineers who think strategically, enjoy working in a fast-moving setting, and care about delivering strong user experiences. Speechify uses a flat organizational structure. Team members are encouraged to show leadership through technical skill and consistent results. The company values work ethic, clear communication, and a drive to succeed. What You Will Do Design, develop, and maintain APIs, including public text-to-speech (TTS) APIs and internal services for payments, subscriptions, and consumption tracking. Ensure these systems meet business and scaling needs. Manage and improve the backend API landscape, focusing on performance and maintainability. Collaborate on B2B solutions, especially for enterprise client customization and integration. Work with cross-functional teams to align backend architecture with product strategy and user experience goals. Interview Process The interview process includes several technical assessments. Speechify aims to complete the process within one week.
Full-time|$204K/yr - $259K/yr|Hybrid|Mountain View, CA, USA
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.
Full-time|On-site|Mountain View, California; San Francisco, California
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Full-time|On-site|Mountain View, California, United States
Harness is at the forefront of AI-driven software delivery, founded by the visionary technologist Jyoti Bansal, who previously established AppDynamics, leading to its acquisition by Cisco for an impressive $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code generation, the critical bottleneck has shifted to the post-coding phase, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, empowering teams to deliver software more efficiently while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep contextual insights and intelligent automation across the software delivery landscape, embedding governance and policy-driven controls throughout.In just the past year, Harness has facilitated over 185 million deployments, 82 million builds, and 18 trillion flag evaluations, alongside conducting 8 million security scans, optimizing 9.1 billion tests, and protecting 3 trillion API calls. We have effectively managed $2.8 billion in cloud expenditures, assisting clients such as United Airlines, Morningstar, and Choice Hotels in accelerating their release cycles by up to 75%, reducing cloud costs by up to 60%, and achieving a remarkable 10x improvement in DevOps efficiency.With a diverse global workforce spanning 14 offices in 25 countries, Harness is pioneering the future of AI-driven software delivery, and we are on the lookout for extraordinary talent to join us on this exciting journey.Position SummaryJoin us as a Senior Software Engineer in a dynamic, high-growth startup environment. As part of the Platform team, you will architect, design, develop, and deliver top-notch software solutions that significantly influence our product offerings.About the RoleDesign and implement scalable platform featuresCreate comprehensive software functional specifications and design documentationQuickly grasp complex systems and code, taking ownership of critical components, including their qualityCollaborate with cross-functional teams to drive innovation and efficiency
Full-time|$170K/yr - $260K/yr|On-site|Mountain View, CA
About UsAt Gatik, we are pioneering the future of autonomous middle-mile logistics. Our innovative approach to B2B supply chain management leverages autonomous transportation-as-a-service (ATaaS), ensuring safe and reliable deliveries while optimizing freight movement and alleviating congestion. We have made history by launching the world’s first fully driverless commercial transportation service in partnership with Walmart in 2021. Our Class 3-7 autonomous trucks are actively operating in key markets such as Texas, Arkansas, and Ontario, Canada, driving transformative change in the freight transportation industry.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to facilitate secure and efficient freight transport between designated pick-up and drop-off points on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ seamlessly integrates sophisticated software and hardware that powers our fleet, thereby ensuring smooth incorporation into our clients' logistics operations.Role OverviewWe are on the lookout for a Senior or Staff Software Engineer who possesses extensive expertise in Visual Odometry (VO) and Localization to become a vital member of our autonomy team. This position is essential for the creation of precise, real-time vehicle localization systems utilizing camera-based perception for autonomous driving applications. The ideal candidate will have practical experience in deploying VO systems in real-world settings, particularly within the autonomous vehicle (AV) sector, and will demonstrate strong C++ engineering capabilities to develop robust, high-performance software solutions.This role requires onsite presence five days a week at our Mountain View, CA office.
Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.
Join LinkedIn as a Senior Staff Software Engineer specializing in High-Performance Computing (HPC) Network Engineering. In this pivotal role, you'll design and implement cutting-edge network solutions that enhance our HPC capabilities and drive innovation across our products. Collaborate with a dynamic team of engineers and contribute to the optimization of our network infrastructure to ensure exceptional performance and reliability.
Mar 18, 2026
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