Senior Software Engineer - Perception Data Infrastructure

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 established the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and tens of billions in simulations across over 15 U.S. states.The Perception team is responsible for developing systems that learn the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles (AVs). We collaborate closely with downstream teams to optimize and integrate our work into the Waymo Driver, conduct research to solve real-world challenges, and work alongside research teams at Alphabet. With access to millions of miles of diverse driving data from various sensors, we empower engineers like you to (1) create methods for efficient continuous learning from extensive real-world data, (2) develop scalable models and training methodologies, (3) analyze real-world behaviors to create systems that can navigate complexities, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

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.

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.

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 at the forefront of autonomous driving technology, striving to become the world’s most reliable 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 prevent countless lives lost to traffic accidents. Our cutting-edge Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be implemented across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has accumulated experience from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states.The Large Model Evaluation team is pivotal to Waymo's AI mission. As advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) continue, we are constructing state-of-the-art AI systems capable of addressing the full spectrum of real-world driving complexities. Central to our success is our capacity to measure progress effectively. Robust evaluation is crucial for deploying any large model, and at Waymo, the challenge is particularly intricate and safety-critical. We seek quantitatively-minded engineers to innovate and propose new methods for assessing the machine learning models integrated into the Waymo Driver.

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable 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™—which aims to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. To date, the Waymo Driver has successfully conducted over ten million rider-only trips, leveraging its experience from over 100 million miles driven on public roads and billions of miles in simulation across more than 15 U.S. states.We are in search of passionate and skilled engineers to join our team and spearhead the post-training process for large language models (LLMs) in the realm of autonomous driving. You will collaborate with an exceptional team of researchers and engineers to innovate and elevate the next generation of advanced AI models.

Join us as a Senior Software Engineer on the Core Platform team at Moveworks, where you will significantly contribute to the advancement of our conversational AI platform. In this role, you will have the chance to develop enterprise products that tackle real-world challenges using our cutting-edge machine learning technology. Your responsibilities will include creating foundational frameworks and services that abstract product needs, providing scalable and reliable components, and establishing an enterprise data platform tailored for diverse product requirements.Design and implement highly reliable, performant, and secure platform components.Shape the platform team's roadmap while taking ownership of the evolution of multiple platform areas.Collaborate with cross-functional engineering teams to deliver integrated solutions.Consistently meet deadlines on projects that are interdependent with other engineering efforts.Challenge existing processes and drive continuous improvement within the platform.Participate regularly in peer code reviews and engineering design discussions.

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.

Join the innovative team at Moveworks as a Senior Software Engineer focusing on our cutting-edge Agentic AI Platform. You will play a pivotal role in developing scalable AI solutions that enhance workplace productivity and efficiency. Your expertise will help shape the future of AI-driven support systems that empower users and streamline operations.

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.

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.

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

P-59 At Databricks, we are driven by a mission to empower data teams to tackle some of the most pressing challenges facing our world. Whether it's transforming transportation or accelerating medical innovations, we achieve this by creating and operating the foremost data and AI infrastructure platform. Our customers leverage deep data insights to enhance their business operations. Founded by engineers with a relentless commitment to customer satisfaction, we eagerly embrace every opportunity to address technical challenges—from designing cutting-edge UI/UX for data interaction to scaling our services across millions of virtual machines. And this is just the beginning. In modern data analysis, advanced techniques such as machine learning surpass the capabilities of conventional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be instrumental in developing next-gen distributed data storage and processing systems that not only outperform specialized SQL query engines in relational query performance but also offer the flexibility and programming abstractions necessary to support a diverse range of workloads, from ETL processes to data science applications. Key projects you might work on include: Apache Spark™: Contribute to the leading open-source framework for big data. Data Plane Storage: Deliver reliable, high-performance services and client libraries for managing vast amounts of data on cloud storage solutions like AWS S3 and Azure Blob Store. Delta Lake: A sophisticated storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, offering features such as ACID transactions and time travel to simplify complex data engineering architectures. Delta Pipelines: Simplify the management of extensive data engineering pipelines, allowing customers to effortlessly orchestrate, deploy, test, and upgrade thousands of data pipelines while minimizing operational burdens. Performance Engineering: Develop the next-generation query optimizer and execution engine that is fast, tuning-free, scalable, and robust.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access while aiming to reduce the tragic loss of lives due to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hailing service but is also adaptable across various vehicle platforms and applications. With over ten million trips solely for riders and extensive experience from autonomously navigating over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge in this transformative technology.The Large Model Evaluation team plays a pivotal role in advancing Waymo's AI vision. As we integrate cutting-edge Large Language Models (LLMs) and Vision-Language Models (VLMs), our aim is to construct sophisticated AI systems capable of addressing the multifaceted challenges of real-world driving. Central to our achievements is the ability to accurately measure our progress. In a landscape where robust evaluation serves as a critical barrier to deploying large models, the intricacies of this task at Waymo are particularly complex and safety-sensitive. We seek quantitatively driven engineers to innovate and propose novel methodologies for evaluating the ML models utilized in the Waymo Driver.

At Reliable Robotics, we're pioneering cutting-edge technology to enhance safety in aviation, ultimately saving lives. Our vision for automated aviation systems is to create a future where air transportation is safer, more efficient, and transformative in the movement of goods and people across the globe. Our team is composed of dedicated engineers with backgrounds in aerospace, robotics, and autonomous vehicles, all striving to bring this vision to life.As a Software Engineer specializing in Test Platforms, you will be instrumental in developing the tools that support our testing and verification processes, ensuring the safety and reliability of our aviation products. Additionally, you will contribute to crafting a high-fidelity training environment for our flight-test teams.Key ResponsibilitiesIn this role, you will shape integrated verification procedures to affirm that our flight application software meets rigorous design and performance standards. You will play a vital role in the release and verification processes for flight software, a core aspect of our flight test program. Collaborating in a dynamic environment, you will coordinate with various engineering teams as you develop test plans, execute tests, troubleshoot issues, and facilitate prompt resolutions. Furthermore, you will have opportunities to create automated test frameworks, build analytical test tools, and enhance our hardware-in-the-loop testing capabilities. This is a hands-on position, requiring maintenance, installation, and troubleshooting of test and simulation equipment.Basic QualificationsMinimum of 2 years of professional experience in object-oriented Python developmentMinimum of 2 years of professional experience in object-oriented C++ developmentAt least 2 years of experience in testing integrated hardware/software products or mission-critical systemsBachelor's degree in Computer Science, Computer Engineering, or a related fieldPreferred QualificationsExperience in robotics or other safety-critical software domainsFamiliarity with developing automated test cases using GitHub Actions, Jenkins, Travis CI, or similar CI/CD toolsProven capability in building or maintaining hardware-in-the-loop (HITL) test environments

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...

About the RoleJoin our dynamic team of experts where machine learning and systems engineering intersect to enhance the performance of autonomous systems. As a Senior Software Engineer specializing in Perception Machine Learning Data, you will play a crucial role in integrating machine learning advancements with autonomy infrastructure, ensuring that our models are trained using the most pertinent, diverse, and high-quality datasets. Your contributions will significantly influence how autonomous systems recognize uncommon scenarios, adapt to various geographical contexts, and operate safely at scale.Key Responsibilities Include:Utilizing Vision Language Models (VLMs) to compile diverse datasets that reflect real-world driving patterns across different regions.Creating high-fidelity synthetic data frameworks across multiple sensor modalities.Enhancing machine learning-powered validation processes for data quality and model preparedness.Your Impact:High-Output Generalist: Collaborate across various domains including autonomy, infrastructure, databases, simulation, and machine learning development, while expanding your expertise in Robotics and ML.Robotics Specialist: Develop cutting-edge solutions for data discovery, automated labeling, and synthetic data generation in close cooperation with the Infrastructure and Autonomy teams.About the WorkTackle the most demanding data challenges in autonomy by applying machine learning and rigorous systems engineering principles:Design hybrid systems that combine deep learning with traditional algorithms for scalable data curation and annotation.Create frameworks to evaluate the real-world authenticity of synthetic data and enhance the quality of synthetic data rendering.Develop tools to automatically identify data gaps that affect the performance of perception models.Collaborate with autonomy engineers to transform raw sensor data into prioritized training objectives, addressing critical gaps that hinder perception and autonomy performance.About YouBachelor’s degree in Computer Science, Robotics, Statistics, Physics, Mathematics, or a related quantitative field.Experience:4+ years of professional software engineering experience, proficient in Python and familiar with C/C++. Demonstrated ability to lead cross-functional technical projects from conception to execution.You have hands-on experience in implementing machine learning solutions and enjoy embedding them into practical systems. Your focus is on delivering impactful, integrated solutions rather than solely theoretical ML projects.Bonus PointsExperience working with synthetic or autonomous driving data.Background in building machine learning systems for robotic applications.

Join Nuro as a Senior Software Engineer specializing in Machine Learning Platform Infrastructure. You will be at the forefront of developing and enhancing our innovative ML platform that powers autonomous delivery vehicles. Your expertise will directly contribute to improving our algorithms and infrastructure, ensuring efficient and scalable performance.In this role, you will collaborate with cross-functional teams to design, implement, and optimize the underlying infrastructure for machine learning applications. You will also mentor junior engineers and drive best practices in software development.