Senior Software Engineer - Attribution

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.

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.

Who We Are Nuro is a pioneering self-driving technology company dedicated to democratizing autonomy for everyone. Established in 2016, we are developing the world’s most scalable driver, integrating advanced AI with automotive-grade hardware. Nuro licenses its flagship technology, the Nuro Driver™, enabling a diverse range of applications from robotaxis and commercial fleets to privately owned vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future. About the Role We are seeking talented senior engineers to enhance and scale Nuro’s expansive computing infrastructure within cloud and data centers. This infrastructure is vital for numerous essential business applications, including machine learning data pipelines, data discovery, simulation, and time-series multimedia log processing. In this role, you will design and implement a scalable, efficient, and reliable system that connects fundamental infrastructure with high-level job requests, making large-scale computations more accessible for autonomy and other infrastructure engineers. About the Work Design and build scalable, dependable frameworks, such as BATES, to orchestrate and manage large-scale workloads in both cloud and on-premise clusters. Collaborate with application teams across Nuro to develop robust, generic tools and APIs that expedite the creation of mission-critical applications. Enhance workload efficiency and turnaround time by deeply understanding application contexts, identifying inefficiencies and bottlenecks, prioritizing tasks, and implementing innovative solutions. About You You possess extensive experience in creating and developing large-scale distributed applications (e.g., Kubernetes). You are proactive in recognizing opportunities for system improvements and driving positive transformations. You have the capability to translate high-level requirements into detailed, cohesive system designs. You are eager to gain a deep understanding of application logic across Nuro and are passionate about going the extra mile. You are highly collaborative and dedicated to delivering the best possible user experience. You embody startup spirit: your track record shows you thrive in the dynamic, often ambiguous environment of a startup.

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.

Who We AreNuro is at the forefront of self-driving technology, dedicated to making autonomy a reality for everyone. Established in 2016, we have developed the world’s most scalable driver, merging advanced AI with automotive-grade hardware. Our innovative platform, the Nuro Driver™, is designed to facilitate a diverse array of applications—from robotaxis and commercial fleets to personal vehicles. With a proven track record from years of deployment, Nuro provides automakers and mobility platforms a clear path to commercial-scale autonomous vehicles, fostering a safer, more interconnected future.About the RoleWe are seeking experienced Software Engineers to expand and optimize Nuro's extensive cloud and data center computing infrastructure. This system is crucial for various business applications across the company, including machine learning data pipelines, data discovery, simulation, and time-series multimedia log processing. In this role, you will create a scalable, efficient, and reliable system that connects core infrastructure with high-level job requests, enhancing large-scale computations for autonomy and other engineering teams.About the WorkDesign and develop scalable, reliable frameworks, such as BATES, to manage and execute large workloads in both cloud and on-premise clusters.Collaborate with application teams across Nuro to provide robust, generic tools and APIs that streamline the development of mission-critical applications.Enhance workload efficiency and turnaround time by analyzing application context, identifying inefficiencies and bottlenecks, prioritizing tasks, and implementing innovative solutions.

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 Databricks, where we are dedicated to empowering data teams to tackle the world's most challenging problems, from enhancing AI research to driving next-generation applications. We achieve this by constructing and managing the premier data and AI infrastructure platform globally. Founded by engineers and fueled by a commitment to our customers, we take on the most challenging technical tasks, whether it's scaling distributed systems across multiple clouds or ensuring reliable, low-latency communication between thousands of services. And this is just the beginning. As a Senior Software Engineer on the Application Traffic team, you will design and develop the systems that facilitate Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also contribute to creating abstractions that simplify networking complexities for product teams, ensuring seamless connectivity, discovery, and reliability by default.

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 Us: Shaping the Future of UI DevelopmentThis role transcends traditional engineering positions. As a visionary builder and a systems thinker, you are committed to advocating for quality and consistency. You recognize that an advanced design system is crucial for enhancing productivity, elevating user experience, and creating an environment where AI tools like Claude Code and Cursor can flourish.You will have the freedom and resources to develop our design system from its inception. Your contributions will empower our product teams to deliver higher-quality features more efficiently and will be instrumental in our strategy to utilize AI for seamless translations of design specifications into pixel-perfect, production-ready code.Your ResponsibilitiesDesign & Build: Create and maintain a scalable, robust, and accessible library of reusable front-end components using React and TypeScript.Establish a Design Token System: Implement and manage a comprehensive design token system (including colors, typography, spacing, etc.) to ensure uniformity across platforms (both web and mobile).Full-Stack Integration: Develop necessary backend APIs, services, and tools to support the design system, including asset pipelines, documentation servers, and version control.Govern & Promote: Produce clear documentation, contribution guidelines, and frameworks for decision-making. Be the primary champion for the design system, promoting its adoption across engineering, design, and product teams.AI Optimization: Structure component APIs, props, and documentation specifically for ease of use by AI code generation tools, defining the “language” our AI assistants will utilize.Tooling & Automation: Oversee the entire lifecycle of the design system's infrastructure, including our Storybook instance, automated testing, and CI/CD pipelines for component publishing and versioning.Collaborate & Lead: Work closely with senior leadership in Product Design and Engineering to outline the design system roadmap, ensuring alignment with company strategic objectives. Mentor fellow engineers in best practices for component design and systems thinking.

Join our innovative team at Moveworks as a Senior Software Engineer, specializing in Agentic AI Systems. You will play a pivotal role in developing advanced AI solutions that enhance workplace efficiency and empower users with intelligent automation. Your expertise in software engineering will allow you to contribute to cutting-edge projects that redefine the interaction between technology and users.

Join Nuro as a Senior Software Engineer specializing in Perception Data Infrastructure. In this pivotal role, you will be responsible for developing and optimizing systems that process perception data, enabling our autonomous vehicles to navigate safely and efficiently. You will collaborate with cross-functional teams to enhance our data infrastructure, ensuring reliability and scalability.

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.

About Nuro Nuro is a pioneering self-driving technology company dedicated to making autonomy available for everyone. Since our inception in 2016, we have been working towards creating the world’s most scalable autonomous driver, merging advanced artificial intelligence with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications including robotaxis, commercial fleets, and personal vehicles. With numerous successful self-driving deployments, Nuro offers automakers and mobility platforms a reliable pathway to achieve commercial-scale autonomous vehicles, fostering a safer, more interconnected future. Role Overview As a Senior Software Engineer specializing in Networking and Real-Time Systems, you will play a crucial role in managing remote vehicle operations over cellular networks. Your primary responsibility will be to guarantee our system's constant vigilance on the road, tackling complex networking challenges. From bonding multiple LTE carriers to innovatively designing custom Forward Error Correction (FEC) algorithms, your work will push the boundaries of standard protocols. Key Responsibilities Engineered Connectivity: Design a network bonding framework to unify bandwidth across various cellular providers (Verizon, AT&T, T-Mobile) to ensure uninterrupted connectivity. Performance Modeling: Create sophisticated ns-3-like simulations to rigorously test our stack against edge cases, such as entering tunnels, navigating rural dead zones, and managing network congestion. Optimization: Develop and implement custom congestion control algorithms tailored for high-bitrate, low-latency video streaming. Cross-Functional Leadership: Collaborate with Hardware and Embedded teams to enhance the network stack directly on our vehicle's gateway. Technologies We Utilize: Programming Languages: C++20, Go Protocols: WebRTC, Websocket, QUIC, SRT, gRPC Tools: Wireshark Ideal Candidate Profile Systems Thinker: You possess a profound understanding of the Linux networking stack, socket programming, and data flow from the physical layer to the application layer. C++ Specialist: You are adept at writing high-performance, thread-safe code with a solid grasp of real-time systems nuances. Protocol Savvy: Beyond using TCP/UDP, you comprehend their limitations in high-mobility scenarios and how to implement FEC or ARQ effectively.

Moveworks is looking for a Senior Software Engineer to join the Agentic AI Systems team in Mountain View. This position focuses on building advanced AI-driven solutions that improve customer experience. Role overview As a senior engineer, you will guide the development of new AI systems. The work involves collaborating with team members and applying modern technologies to solve complex challenges. Your contributions will have a direct impact on product direction and the evolution of AI capabilities at Moveworks. What you will do Lead the design and implementation of AI-powered features Work closely with others to deliver solutions that enhance customer interactions Apply your expertise to influence technical decisions and product strategy Requirements Experience developing AI systems Strong collaboration and technical leadership skills Ability to work with modern technologies to drive innovation

Join Databricks as a PhD Systems Software Engineer where you will leverage your advanced academic training to contribute to innovative software solutions. You will collaborate with a team of talented engineers and researchers to push the boundaries of technology and deliver high-quality systems that meet our clients' needs.

The Role Are you an accomplished software engineer eager to apply your expertise in a pioneering environment focused on AI agents? If so, this opportunity might be the perfect fit for you. As a senior software engineer on our innovative 'Agent Lab' team, specializing in Natural Language Understanding, you will significantly contribute to our mission: to expand the scope of tasks that can be reliably performed by agents at scale. You will have the chance to shape the future of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge tools in enterprise AI, including top-tier LLMs from providers such as OpenAI, our team prioritizes rapid development on scalable infrastructure, tackling complex product and engineering challenges, and maximizing the value delivered to our customers. If you're looking to create meaningful impact alongside a talented, dedicated, and mission-driven team, we would love to discuss this opportunity with you. What You Will Do: Confront exciting and complex engineering challenges to develop and enhance robust AI agent systems that demonstrate reliability in all aspects. Implement leading-edge AI algorithms and architectures, ensuring their successful deployment at scale. Leverage the latest advancements in machine learning, LLMs, and AI agents to enrich our products and deliver exceptional user experiences. Contribute to the product roadmap and drive the development of engineering areas with increasing scope and significance, creating lasting value for our customers. Refine your skills in writing clean, extensible, readable, and high-performing code. Collaborate with subject matter experts across various departments, including machine learning, security, product, user experience, and customer success, to share knowledge and build the most exceptional enterprise AI product. Mentor fellow engineers on best practices for building, maintaining, and evolving high-quality software. Work closely with machine learning engineers, fostering a collaborative environment to build world-class AI systems. What You Bring To The Table: 2+ years of experience in designing, building, and enhancing production systems, preferably at scale. Strong analytical skills with the ability to clearly articulate complex engineering problems and systems. Proficient in programming languages and frameworks relevant to the development of AI systems. A passion for learning and staying updated with the latest trends in AI and software engineering.

The Role Are you an accomplished software engineer eager to leverage your expertise in designing and enhancing production systems at the forefront of AI technology? If so, this opportunity might be the perfect fit for you. As a senior software engineer within our dynamic “agent lab” Natural Language Understanding team, you will play a pivotal role in our mission: to expand the capabilities of AI agents to operate reliably at scale. You will have the chance to influence the progression of the Moveworks AI Assistant platform across various domains, including agent orchestration, sandboxed file systems, latency optimization, agent memory, and more. With access to state-of-the-art AI tools, including leading LLMs from OpenAI, you will be at the cutting edge of technology. Our team prioritizes rapid development on scalable infrastructure while tackling complex engineering challenges and enhancing the value we deliver to our customers. If you are ready to make a significant impact alongside a passionate and dedicated team, we would love to hear from you.

Join Waymo as a Senior Software Engineer specializing in Onboard Software Integrity Infrastructure. In this role, you will develop and enhance software systems that ensure the reliability and safety of our autonomous vehicle technology. You will collaborate with cross-functional teams to design and implement solutions that uphold the highest integrity standards in software performance.

Waymo is a leader in autonomous driving technology dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—an exceptional driver that enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver not only supports our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has safely navigated more than 100 million miles on public roads and processed tens of billions of miles in simulation across over 15 U.S. states.The Perception Data team at Waymo plays a critical role in shaping the strategy and technical direction for all data utilized in training and evaluating the Waymo Driver's perception capabilities. We manage the complete data lifecycle, developing automated systems and 'infrastructure-as-product' solutions that convert vast amounts of driving sensor data into high-quality training datasets. Our team tackles complex challenges, including active learning loops and open-vocabulary modeling, bridging raw data with advanced machine learning techniques.By integrating data ingestion, curation, and evaluation into a unified ecosystem, we facilitate the swift development of foundational models and next-generation perception systems. We work closely with Machine Learning, Infrastructure, and Evaluation teams to address intricate data challenges, ensuring our models can effectively interpret the long-tail of rare events. Ultimately, our contributions lay the groundwork for the Waymo Driver to operate safely in diverse environments.