Distinguished Software Engineer - Systems Infrastructure at linkedin3

Role overview LinkedIn Corporation seeks a Distinguished Software Engineer specializing in Systems Infrastructure for its Core Infra team in Mountain View. This senior role focuses on shaping, building, and advancing the core systems that support LinkedIn’s platform at scale. What you will do Design, implement, and continuously improve infrastructure systems that support LinkedIn’s core services Collaborate with teams throughout the company to strengthen and evolve foundational systems Lead efforts to boost system reliability and performance Mentor engineers, promote effective practices, and help develop scalable technical solutions Requirements Deep experience in systems infrastructure engineering Proven ability to design and optimize large-scale, highly available systems Track record of technical leadership and mentoring within engineering teams Strong collaboration skills and a drive to advance core infrastructure through innovation

Join LinkedIn as a Distinguished Software Engineer specializing in Data Infrastructure, where you will lead innovative projects that enhance our data capabilities and support millions of users worldwide. This role requires a deep understanding of data architecture and an ability to design scalable solutions.

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

Join LinkedIn Corporation as the Director of Software Engineering in our Systems Infrastructure team, where you will lead innovative engineering efforts and drive the development of scalable and reliable systems. This role is vital in ensuring the robust performance and security of our infrastructure, which supports millions of users worldwide. You will collaborate with various teams to implement cutting-edge technologies and optimize our systems for efficiency.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

Join our dynamic team at LinkedIn as a Distinguished Software Engineer in Machine Learning. In this pivotal role, you will lead innovative projects that enhance our growth strategies through cutting-edge machine learning techniques. You will collaborate with cross-functional teams to implement advanced algorithms that drive our product offerings and influence key decisions.

Join LinkedIn as a Fellow in Software Engineering, specializing in Infrastructure. In this role, you will collaborate with a team of experienced engineers to develop scalable and robust systems that support millions of users globally. You will be at the forefront of technical innovation, working on projects that impact the future of our platform.As a Fellow, you will have the opportunity to mentor junior engineers, drive architectural decisions, and influence the design of our infrastructure. Your expertise will be crucial in optimizing performance and ensuring reliability in our systems.

Join our innovative team at LinkedIn as a Senior Staff Software Engineer focused on AI Infrastructure. In this role, you will leverage your expertise to build and enhance scalable AI systems that empower millions of users worldwide. You will collaborate with cross-functional teams to develop efficient algorithms and contribute to cutting-edge projects that drive our commitment to AI excellence.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomy accessible to everyone. Established in 2016, we are on a journey to develop the world’s most scalable driver by integrating advanced AI with high-quality automotive hardware. Our proprietary technology, the Nuro Driver™, is licensed for a variety of applications including robotaxis, commercial fleets, and personal vehicles. With our proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more connected future. About the RoleWe are seeking a talented Software Engineer to join our Fleet Connectivity team, focusing on building and maintaining our release and over-the-air (OTA) update infrastructure. Our engineers work across both cloud and robotic systems to create reliable and efficient solutions for network connectivity, telemetry, and software updates, which are vital for scaling our autonomous vehicle vision. About the Work Design, develop, test, deploy, maintain, and enhance software for mission-critical systems such as release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables, coordinating effectively across teams. Write clean, testable code that adheres to our stringent code quality standards. Monitor and optimize the performance of our release systems, defining and tracking KPIs, and proposing improvements to enhance build cost, time, and space requirements. Create test and validation programs to ensure the robustness of system architecture and data flow. Contribute to documentation improvements and participate in an on-call rotation during business hours. About You 5+ years of professional experience with large-scale distributed systems. Strong proficiency in C++ or Go programming languages. Familiarity with Unix/Linux environments and Bash scripting. Ability to translate high-level requirements into detailed, cohesive system designs. Experience with data structures, algorithms, and software design principles tailored for large-scale distributed systems. Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

Overview At Google DeepMind, we are a diverse collective of scientists, engineers, and machine learning specialists driven by a shared mission to push the boundaries of artificial intelligence. Our commitment is to leverage our innovative technologies for the greater good, prioritizing public safety and ethical standards as we tackle some of the most pressing challenges in the field. The Gemini App As a leader in the AI evolution, the Gemini App is revolutionizing user experiences with generative AI technology. We are on the lookout for a visionary Design Leader who can craft the strategic direction that will shape the future of our offerings. Position Summary In this pivotal role, you will take charge of defining user experiences, championing design excellence, and nurturing a culture of innovation within Gemini. Collaborating closely with product management, engineering, and research teams, your goal is to create an experience that is intuitive, powerful, and visually stunning for users around the globe. The Distinguished Designer serves as the technical foundation of the Gemini interface. You will bridge cutting-edge machine learning with meticulous mobile implementation, ensuring that Gemini operates "as fast as thought" while upholding world-class stability and performance. Key Responsibilities: Designing the AI-UI Bridge: Develop technical frameworks for iOS and Android that efficiently manage non-deterministic AI outputs (including streaming audio/visuals) with zero latency and maximum fluidity. Performance Optimization: Define the "Gold Standard" for mobile UI latency by optimizing rendering and state management to accommodate complex multimodal requests without sacrificing battery performance or device thermals. AI-Enhanced Tools: Create and implement internal "Design-to-Code" pipelines that empower the design team to utilize Gemini for automating UI generation and live-model prototyping. Technical Leadership: Establish best practices for user experience in emerging technologies and ambiguous problem spaces while mentoring senior contributors and engineers at the intersection of UI development and AI inference.

Join Our Team as a Software Engineer, Core InfrastructureAs a pivotal member of the Core Infrastructure team at Moveworks, you will play a crucial role in designing and implementing the next generation of our AI infrastructure. With Moveworks experiencing rapid growth, our infrastructure team is dedicated to creating and maintaining reliable, resilient foundational services and frameworks that enable our products to scale efficiently and support our engineering teams in delivering customer-facing features swiftly.Collaborate closely with machine learning, search, product, data, and frontend teams to assess their infrastructure requirements, influence the infrastructure roadmap, and lead various projects from conception to execution.Design and construct core infrastructure components and foundational functionalities, including distributed key-value stores, schema-less data stores, authentication and authorization systems, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flag systems, A/B testing, and traffic capture and replay.Enhance the observability and reliability of Moveworks systems by building and refining distributed logging, tracing, monitoring, and alerting infrastructures.Establish methodologies and metrics to evaluate the performance of microservices and product functionalities, identify bottlenecks, and enhance the overall performance and scalability of Moveworks applications.Consistently deliver time-sensitive work that is interconnected with other engineering teams.

Join Nuro as a Senior Software Engineer focused on GenAI Infrastructure and Agent Systems. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance engineering efficiency across our platforms. You will be responsible for designing and implementing scalable systems that drive automation and optimization in our engineering processes.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world's most challenging problems, from detecting security threats to advancing cancer drug development. Our mission is to build and operate the premier data and AI infrastructure platform, allowing our customers to concentrate on the high-value challenges central to their missions. Since our inception in 2013 by the original creators of Apache Spark™, Databricks has transformed from a small office in Berkeley, California, into a global powerhouse with over 1,000 employees. Today, thousands of organizations—from startups to Fortune 100 companies—trust Databricks with their mission-critical workloads, solidifying our status as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while ensuring the resilience, security, and scale essential for our customers' success on our platform. We manage one of the largest-scale software platforms, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software must adeptly shield our customers from these challenges. In modern data analysis, sophisticated techniques such as machine learning extend far beyond the traditional SQL query engine's roll-up and drill-down capabilities. As a software engineer on the Runtime team at Databricks, you will contribute to building next-generation distributed data storage and processing systems that not only surpass specialized SQL query engines in relational query performance but also offer the expressiveness and programming abstractions necessary to support varied workloads, ranging from ETL to data science. Here are some example projects you might work on: Apache Spark™: Develop the de facto open-source standard framework for big data. Data Plane Storage: Provide reliable and high-performance services and client libraries for storing and accessing massive amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scale and cost-efficiency of data lakes with the performance and reliability of data warehouses, along with the low latency of streaming. Its higher-level abstractions, including ACID transactions and time travel, significantly simplify real-world data engineering architecture. Delta Pipelines: Managing a single data engineering pipeline can be challenging. The objective of the Delta Pipelines project is to streamline this process.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been relentless in its mission to develop the Waymo Driver—The World's Most Experienced Driver™. This innovative technology aims to enhance mobility access and significantly reduce traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service, having successfully completed over ten million rider-only trips, driven more than 100 million miles on public roads, and engaged in tens of billions of miles in simulation across more than 15 states in the U.S.The Onboard Infrastructure Team plays a crucial role in the design and development of the fundamental infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes critical components such as perception, planning, and routing functionalities. This team is responsible for defining the architecture and frameworks necessary to implement these essential systems. Additionally, the team oversees the entire runtime environment for both on-car systems and large-scale simulations, ensuring optimal performance, reliability, and an exceptional developer experience throughout the development lifecycle. This is a hybrid position, reporting to a Staff Engineer, Tech Lead Manager.In this hybrid role, you will report to a Staff Software Engineer / TLM.Your Responsibilities:Lead architectural and framework enhancements to improve driving quality, performance, reliability, and overall developer experience.Comprehensively understand the Waymo code lifecycle—from deployment on autonomous vehicles to conducting large-scale simulations—to ensure top-tier quality across all operational environments.Design, implement, and deploy essential C++ APIs that handle critical functions such as asynchronous management, experimentation pipelines, multi-platform deployments, complex data extraction, debugging tools, and advanced system visualization.Act as a pivotal resource for onboard teams, assisting them in optimizing software setups for maximum efficiency, flexibility, scalability, and reliability, ensuring alignment with Waymo's rapidly evolving requirements.Enhance our internal tools, infrastructure, and development processes to accelerate engineering velocity while maintaining stringent control over system complexity, performance, reliability, and developer experience.

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, 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.

Waymo is pioneering the future of transportation with its cutting-edge autonomous driving technology, striving to become 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 prevent traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, which has autonomously traveled over 100 million miles on public roads, we are transforming the way people experience transportation across 15+ U.S. states.Your Role:Design, develop, test, and launch innovative features for SQL-based query APIs and systems to assess and generate metrics for Waymo Driver evaluations.Analyze and enhance the performance and scalability of the query execution engine.Craft clean, testable, and maintainable code in C++ and SQL, adhering to industry best practices.Monitor system health and performance, proactively resolving issues as they arise.Collaborate with data scientists, product managers, and engineers to identify data requirements across Simulation, Planner, Behavior, Perception, and Commercialization, ensuring alignment with analytical needs.

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, we have developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility and saving lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and executed tens of billions of miles in simulation across more than 15 U.S. states.Our Hardware Engineering team is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, build, and refine the innovative products that serve as the eyes and ears of Waymo’s autonomous driving technology, integrating them seamlessly into our vehicle platforms. We invite curious and talented individuals to join us in driving innovation forward.This position follows a hybrid work model and reports to a Staff Software Engineer.

Join Waymo as a Senior Software Engineer specializing in Simulation Infrastructure, where you will lead the development of innovative simulation tools and frameworks that enhance our self-driving technology. You will collaborate with cross-functional teams to design robust software solutions that drive our mission to make transportation safer and more accessible through autonomous driving.