Staff Software Engineer - Online Maps

Who We AreAurora Innovation is on a mission to revolutionize transportation through self-driving technology, delivering safety, efficiency, and accessibility for all.The Aurora Driver is set to usher in a new era of mobility and logistics, making travel safer and more efficient.Join Aurora to tackle complex challenges with a team of passionate and intelligent individuals, fostering growth and expertise in the field. For the latest updates, visit aurora.tech or connect with us on LinkedIn.We are looking for a Staff Software Engineer - Online Maps to join our Maps ML team. This team is pivotal in providing real-time map data to the Aurora Driver as it navigates the complexities of the world.Your Role:Lead and collaborate with the Online Maps autonomy team to enhance and implement perception algorithms that empower the Aurora Driver.Research and develop cutting-edge deep learning and machine learning models for robust perception solutions in diverse scenarios.Create innovative verification and validation technologies and methodologies.Work closely with engineers from online maps, simulation, and safety to ensure online mapping technology is ready for autonomous operations.Build infrastructure and tests that support critical decisions for deploying the Aurora Driver.Integrate, test, and deploy production-ready solutions into the codebase that powers the Aurora Driver.

Who We Are Nuro is at the forefront of self-driving technology, dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the world’s most scalable driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed for a diverse array of applications, from robotaxis to commercial fleets and personal vehicles. With years of proven technology through successful self-driving deployments, Nuro provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, paving the way for a safer, richer, and more connected future. About the Team Our robotics team is expanding, and we are seeking a Machine Learning Software Engineer to join our Online Mapping team. We are looking for an engineer with a strong background in robotics and machine learning to tackle the complex challenges associated with designing and implementing onboard mapping models, managing data and labels, and developing training pipelines. About the Role In this role, you will be tasked with building robust machine learning and mapping systems that can operate in unpredictable environments using real data from cameras, LiDAR, and other sources. Your passion for advancing robot navigation for logistics and transportation will drive our mission forward. About the Work Research, develop, and implement cutting-edge online mapping models and algorithms. Evaluate and analyze the performance of our online mapping system, identifying improvement opportunities in architecture, data, and end-to-end ML systems. Collaborate cross-functionally with other ML teams to ensure our models are integrated into centralized architectures. Engage with stakeholders across autonomy, infrastructure, and systems teams to address online mapping needs and requirements.

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

Waymo is at the forefront of autonomous driving technology, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hailing service, having successfully completed over ten million rider-only trips, powered by more than 100 million miles of autonomous driving on public roads and extensive simulation across 15+ U.S. states.The Waymo Mapping team is committed to creating a comprehensive high-resolution map of the world to ensure safe autonomous driving. We utilize a combination of automated and manual mapping techniques to build the infrastructure necessary for storing, processing, and distributing this vital map data. Our team partners with various other Waymo teams that rely on this map data.

Who We Are Nuro is on a mission to enhance everyday life through robotics. Since our founding in 2016, we have dedicated ourselves to pioneering autonomous driving technology and bringing it into commercial use. Our flagship Nuro Driver™ represents a cutting-edge autonomous driving system that integrates advanced hardware with a sophisticated AI-driven self-driving software. Designed to adapt and optimize based on real-world data, the Nuro Driver™ is among the few driverless technologies currently operating on public roads. Having secured over $2 billion in funding from prominent investors such as Fidelity, Bailie Gifford, T. Rowe Price, and Google, Nuro collaborates with some of the world's leading brands, including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We are expanding our robotics team and seeking a talented Software Engineer to join our Localization and Mapping division. In this role, you will tackle complex challenges related to the design and implementation of mapping systems for our current and future robotic solutions. We are looking for an engineer who possesses a strong background in developing resilient mapping systems that operate effectively in unpredictable environments, and who is eager to contribute to the evolution of robotic navigation in logistics and transportation. About the Work Research, develop, and implement cutting-edge mapping and state estimation algorithms. Evaluate and characterize the accuracy and performance of these algorithms while creating map solutions that utilize diverse data sources. Develop well-tested C++ software and conduct deployment and testing on our robotic platforms and in simulations. Collaborate within a small, focused team to deliver high-quality mapping and localization solutions that empower the next generation of mobile robots. Engage with stakeholders across autonomy, infrastructure, and systems teams to address map needs and specifications. About You At least 2 years of industry experience as a software engineer. Proficient in C/C++ programming, with a focus on developing reliable, safety-critical software. Hands-on experience in creating mapping and/or localization algorithms for autonomous vehicles, drones, or similar technologies. Thorough understanding of state estimation, probabilistic filtering, and 3D geometry. Experience working with various sensors, such as lidar and cameras. Bonus Points PhD or Master’s Degree in computer science, robotics, or a related field.

Who We AreAt Aurora, we are committed to advancing self-driving technology to ensure safer and more efficient transportation solutions for everyone.Discover The Aurora Driver and join us in shaping the future of mobility and logistics.At Aurora, you'll engage with complex challenges alongside a team of dedicated and intelligent professionals, enhancing your expertise and expanding your knowledge base. For updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are seeking a talented Software Engineer to join our Map Fusion team. In this role, you will develop sophisticated algorithms that empower our vehicles to detect and respond to dynamic environmental changes, such as construction zones and emergency vehicles, in real-time. This is a unique opportunity to work at the crossroads of traditional geometric algorithms and cutting-edge machine learning, addressing critical safety challenges in real-world scenarios.

About CyngnLocated in Mountain View, CA, Cyngn is a pioneering publicly traded company focused on autonomous technology. We specialize in deploying self-driving industrial vehicles, such as forklifts and tuggers, across factories, warehouses, and facilities throughout North America. To advance this innovative sector, we seek driven, creative, and experienced professionals to join our mission. If you thrive in a collaborative environment where you can build, innovate, and explore alongside a passionate team, Cyngn is the perfect place for you.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the excitement of a startup while being publicly traded. This unique blend offers our team members both close collaboration with leadership and the benefits of publicly traded equity liquidity.From Concept to Reality.Our autonomous vehicles are not just concepts; they are actively deployed for real clients today, ensuring that your contributions will have a significant and visible impact.A Human-Centric Team.We pride ourselves on being a diverse and welcoming team of intelligent individuals who value collaboration and trust. At Cyngn, every team member's perspective is valued, driving our innovative spirit.Role Overview: As a Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be instrumental in delivering vital enhancements and new functionalities to our calibration, localization, and mapping systems. You will work within a focused, agile team to develop production-grade software that facilitates the efficient and accurate generation of HD maps at Cyngn deployment sites, as well as reliable localization for our autonomous vehicle fleets. Collaborative efforts with cross-functional teams, including vehicle infrastructure, hardware, QA, and other autonomy divisions (such as Perception, Decision, Planning, and Control), will be essential to ensure seamless integration, thorough testing, and ultimately safe and efficient operations for the next generation of Cyngn's autonomous vehicles.

About UsGatik is a pioneering company in autonomous middle-mile logistics, transforming the B2B supply chain with our innovative autonomous transportation-as-a-service (ATaaS) solutions. We prioritize safety and reliability in deliveries while enhancing freight movement and reducing congestion. In 2021, we launched the world's first fully driverless commercial transportation service in collaboration with Walmart, utilizing our Class 3-7 autonomous trucks that are now operational in major markets such as Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is specifically engineered to ensure safe and efficient transport of freight between pick-up and drop-off points in the middle mile. With its robust capabilities for both highway and urban settings, Gatik Carrier™ integrates advanced software and hardware, seamlessly blending into our customers' logistics operations.Position OverviewWe are in search of a highly motivated and skilled GIS Engineer specializing in HD Mapping to enhance our team. In this role, you will play a crucial part in the development and optimization of our HD Mapping production pipeline.Your hands-on responsibilities will include working with extensive LiDAR and camera datasets, creating geospatial processing workflows, and refining our routing and topology validation systems. You will collaborate closely with internal teams and external partners to ensure high-quality map delivery within strict operational timelines.This position demands a strong enthusiasm for geospatial data and excellent software engineering capabilities, with the ability to excel in a dynamic production environment.

Waymo is seeking a Staff Software Engineer focused on DevAI to help advance artificial intelligence for autonomous vehicles. This position is based in Mountain View, CA. Role overview This role centers on designing and building AI solutions that support Waymo's self-driving technology. Collaboration with teams across engineering, product, and research will be a core part of daily work. The goal is to strengthen AI capabilities and improve system performance. What you will do Design and develop AI-driven features for autonomous vehicle systems Work closely with colleagues from different disciplines to integrate and refine AI models Contribute to the ongoing improvement of system performance and reliability Impact This position plays a key part in shaping how AI supports the future of transportation at Waymo.

P-188 At Databricks, we are on a mission to fundamentally transform the data lifecycle, simplifying processes from data ingestion to ETL, Business Intelligence (BI), and extending to Machine Learning (ML) and Artificial Intelligence (AI) through a unified platform. We envision a future where traditional data warehouse architectures are replaced by innovative solutions like the Lakehouse architecture (CIDR 2021 paper), which integrate data warehousing and advanced analytics, effectively addressing critical challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support. To turn this vision into reality, we are developing a next-generation decoupled query engine and structured storage system designed to surpass specialized data warehouses in relational query performance while maintaining the versatility of general-purpose systems like Apache Spark™. This system is intended to support a wide array of workloads, from ETL processes to data science applications. As a member of our team, you will engage in one or more of the following areas, contributing to the design and implementation of cutting-edge systems that redefine industry standards: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security measures Resource management strategies Transaction coordination processes Efficient storage structures (encodings, indexes) Automatic physical data optimization techniques

Join our innovative team as a Staff Software Engineer specializing in Android development. In this crucial role, you will collaborate with cross-functional teams to design, develop, and enhance cutting-edge mobile applications that impact millions of users globally. Your expertise in Android technologies will drive the success of our projects and contribute to our mission of connecting professionals.

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™—to enhance mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a diverse array of vehicle platforms and applications. With over ten million rider-only trips and experience from more than 100 million miles driven autonomously on public roads, Waymo is shaping the future of transportation.Our simulation environment is among the most sophisticated ever created, utilizing deterministic logic, physical dynamics, and cutting-edge Generative AI to establish a training ground for the Waymo Driver. The Simulator Evaluation team tackles the challenging question: How can we mathematically validate that a virtual world is perceptibly 'real'?We are on the lookout for a Staff Software Engineer who will take on the role of Technical Architect in this field. You will operate at the intersection of software engineering and AI, ensuring our simulated environments—whether governed by explicit rules or foundational models—accurately reflect reality.In this Staff-level position, you will report directly to a Senior Staff Software Engineering Manager and function as a Technical Lead, connecting intricate technical metrics with overarching product strategies.Your Responsibilities Will Include:Architecting Evaluation Standards: Define the 'Definition of Done' for simulation realism, anticipating product objectives (e.g., operational capabilities in snow or highway driving) and designing the evaluation roadmap to ensure our simulation fidelity evolves in alignment with onboard requirements.Acting as the System Critic: Create comprehensive mathematical frameworks to validate our hybrid virtual world, determining the balance between diverse evaluation needs—from verifying logical rules and dynamics to assessing the distribution quality of generative AI models.Building at Scale: Lead the development of large-scale, extensible evaluation platforms (in C++/Python), ensuring our metric pipelines are robust distributed systems capable of delivering clear, reproducible insights on petabytes of data.Providing Strategic, Cross-Functional Leadership: Serve as the technical liaison across various organizations, closely collaborating with AI research and other simulation teams. The evaluation workflows you design will facilitate rapid innovation and inform research trajectories.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from transforming the future of transportation to expediting medical breakthroughs. We achieve this by creating and managing the most advanced data and AI infrastructure platform, enabling our customers to extract deep insights from data to drive business success. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX for data interfacing or scaling our services and infrastructure across millions of virtual machines. And we’re just getting started.The Logging Platform team is pivotal in developing scalable and efficient logging solutions that enhance observability across all Databricks services. As a Staff Software Engineer, you will spearhead the evolution of our logging infrastructure, empowering engineers throughout the company to gain profound insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

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...

Harness is revolutionizing software delivery with its AI-driven platform, spearheaded by visionary technologist and entrepreneur Jyoti Bansal, the founder of AppDynamics which was acquired by Cisco for $3.7B. With an impressive funding of approximately $570M and a valuation of $5.5B, we are backed by leading investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code creation, we recognize that the main bottleneck now lies in post-code processes—testing, deployment, application security, reliability, compliance, and cost optimization. Harness harnesses AI and automation to streamline this crucial “outer loop,” empowering teams to deploy software at speed while ensuring robust security and governance throughout the software delivery lifecycle.Utilizing Harness AI and our Software Delivery Knowledge Graph, the Harness Platform delivers deep contextual insights and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls throughout the platform.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls while managing $2.8 billion in cloud expenditures. Our customers, including United Airlines, Morningstar, and Choice Hotels, have experienced a remarkable acceleration in release speeds by up to 75% and reductions in cloud costs by up to 60%, achieving a tenfold increase in DevOps efficiency.With a diverse team distributed across 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI software delivery—and we are on the lookout for exceptional talent to accelerate our journey.Position SummaryThis role falls under the AppSec Foundations charter, concentrating on the design and development of core authentication, authorization, and common services infrastructure that supports Harness's security ecosystem. The team is tasked with constructing foundational Role-Based Access Control (RBAC) systems, implementing service-to-service authentication, audit logging, and common security services to facilitate secure access across all Harness modules, including the AppSec Platform, CI/CD, and other offerings.The Foundations team acts as the security cornerstone for Harness’s multi-product platform, providing vital authentication and authorization services that guarantee secure, scalable access management throughout the software delivery lifecycle.

ECL is leading a technological revolution with the launch of the world’s first hydrogen-powered, off-grid green data center, achieving an impressive uptime of 99.999%. As the demand for high-performance data centers grows to support AI and machine learning, ECL is at the forefront of delivering innovative solutions. Our cutting-edge modular architecture allows for scalable construction projects ranging from 1-2MW, designed to cater to the needs of larger data center installations. Join us and contribute to a completely green power generation system amidst the rapid advancements in artificial intelligence and machine learning.This is a unique opportunity to be part of a groundbreaking team poised for significant growth. ECL was founded by industry veterans from renowned companies such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.

Join Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

About UsNuro is a pioneering self-driving technology firm dedicated to making autonomous driving a reality for everyone. Established in 2016, we are on a quest to develop the world's most scalable self-driving solution, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With extensive experience gained from multiple self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieve commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewThe Routing Team is responsible for creating essential services that guarantee the Nuro Driver™ reaches its destinations in a safe and efficient manner. We are dedicated to continuously enhancing our routing engine to optimize route calculations, deliver precise ETAs, and manage scalable traffic for all journeys, adapting to our expanding business and evolving mapping infrastructure.Key ResponsibilitiesDevelop and scale backend systems and onboard modules for the Routing team, including designing microservices, optimizing routing algorithms, analyzing road network graphs, and establishing monitoring and analytics systems.Collaborate with product, strategy, and operations teams to create innovative user experiences and outline product strategies and roadmaps.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. With over ten million rider-only trips and the ability to autonomously navigate more than 100 million miles on public roads, Waymo is transforming transportation across 15+ U.S. states.The Waymo Mapping team aims to create a high-resolution map of the world to facilitate safe autonomous driving. We employ both automated and manual mapping techniques and develop the necessary infrastructure to store, process, and distribute our maps. Our team collaborates with several other departments within Waymo that utilize map data.In this role, you will:Design, train, and deploy machine learning models that automate the creation of Waymo's HD maps, allowing for scalability in the Waymo Driver.Utilize and advance cutting-edge ML techniques, including Vision-Language Models (VLMs) and Generative AI, to innovate in mapping automation.Manage the entire model development lifecycle, from data mining and processing to model training, evaluation, validation, and production.Work closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to implement pioneering research into scalable, reliable, production-ready solutions.

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.