Staff Software Engineer - Individual Contributor

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from realizing the next mode of transportation to fast-tracking medical advancements. Our mission involves constructing and managing the premier data and AI infrastructure platform, allowing our clients to leverage profound data insights to enhance their operations. Search technology is integral to this endeavor. Through a combination of keyword retrieval, semantic similarity via vector embeddings, and hybrid methods, our Search technologies enable users to find, discover, and comprehend information within vast, intricate datasets. This technology fuels a wide array of applications, from Retrieval Augmented Generation (RAG) and AI assistants to recommendation engines, enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer specializing in Search Quality, you will steer the technical strategy for ranking, relevance, evaluation, and quality initiatives within Databricks' advanced Search product. You will architect and develop systems, models, and evaluation frameworks that guarantee our Search stack yields precise, high-quality outcomes across a variety of multimodal datasets and query patterns. Collaborating with research, product, and infrastructure teams, you will push the boundaries of retrieval quality for enterprise AI applications by integrating traditional information retrieval techniques with representation learning and neural ranking. In addition to your technical contributions, you will help shape our long-term vision for relevance and quality, mentor senior engineers, and lead strategic initiatives that enhance the accuracy, dependability, and overall impact of Search across Databricks.

Your Role at MoveworksDevelop and enhance core infrastructure services and microservices that support our machine learning, frontend, and platform teams.Implement critical functionalities such as distributed configuration management, rate limiting, feature flagging, A/B testing, and traffic capture and replay.Optimize the performance, scalability, and observability of Moveworks cloud infrastructure.Consistently deliver time-sensitive projects in collaboration with other engineering teams.Take full ownership of features from inception to deployment while actively influencing the infrastructure roadmap.Engage in a highly collaborative, in-person role, working across various teams including Core and ML engineering.

Join Otter.ai as a Senior Software Engineer specializing in Search & Recommendations, where you will play a pivotal role in enhancing our platform's ability to deliver tailored content and improve user experiences. You will collaborate with a talented team of engineers and product managers to develop innovative solutions that leverage machine learning and natural language processing.

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

Moveworks is hiring an Associate Software Engineer to join the Search Infrastructure team in Mountain View. This position centers on building and improving systems that help users access information quickly and accurately. Role overview Work closely with other engineers to develop solutions that strengthen search features across Moveworks products. The team focuses on making it easier for users to find what they need, supporting both performance and reliability. Collaboration and growth This role offers hands-on experience with advanced technology in a team that encourages learning and development. Expect support from colleagues as you expand your skills and contribute to impactful projects.

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

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.

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.

Join the Coupang team as a Senior Staff Machine Learning Infrastructure Engineer focusing on Search & Discovery. In this pivotal role, you will drive the development and optimization of our machine learning infrastructure, ensuring our systems can meet the demands of millions of users.We are looking for experts who are passionate about leveraging cutting-edge technology to deliver exceptional user experiences. Your contributions will directly impact how our customers interact with our platform, making shopping, eating, and living easier than ever.

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.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.