Data Center Operations Engineer

ECL has revolutionized the industry with the launch of the world’s first hydrogen-powered, off-grid green data center, boasting an impressive 99.999% uptime. As demand surges for state-of-the-art data centers capable of supporting the needs of AI and Machine Learning, what once seemed like a distant vision has become a reality. Our innovative end-to-end construction platform and modular architecture allow us to scale from 1-2MW to accommodate even the largest data center sites. This is a unique opportunity to contribute to the development of a fully sustainable power generation system in the evolving landscape of disruptive technology advancements in Machine Learning and Artificial Intelligence.Join us at ECL, a company founded by experts from leading tech giants such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy, and be part of our exciting journey as we prepare for exponential growth.Data Center EngineerLocation: Mountain ViewReports To: Director, Data Center Site Services Position OverviewThe Data Center Engineer (KTLO) will ensure the ongoing operational readiness of all critical infrastructure systems within a mission-critical data center environment. This role is pivotal in guaranteeing uptime, maintaining system redundancy, and enforcing strict procedural and safety protocols across electrical, mechanical, and supporting site systems.This operations-centric position requires a focus on stability, execution, and adherence to compliance. The engineer will implement approved procedures, assist with structured change management processes, monitor system health, and maintain documentation that is ready for audits in a tightly controlled, high-availability environment.The candidate must possess a working knowledge of electrical distribution systems, critical cooling infrastructures (including liquid cooling technologies), structured governance of MOP/SOP/EOP, and regulated operational settings. Success in this role hinges on procedural discipline, sound judgment in escalation situations, and effective risk mitigation practices. Key ResponsibilitiesElectrical Systems Operations· Operate and maintain UPS systems, switchgear, transformers, PDUs, generators, fuel cells, and BESS (as applicable)· Support switching activities under approved MOPs· Monitor...

ECL is revolutionizing the data center industry with the launch of the world’s first hydrogen-powered off-grid green data center, achieving an impressive 99.999% uptime. As demand surges for advanced data centers capable of supporting AI and Machine Learning, what once seemed a distant vision is now a tangible reality. Our innovative construction platform and modular architecture allows us to scale from 1-2MW, catering to even the largest data center operations. Join us in pioneering a completely green power generation system in this era of rapid technological advancement in Machine Learning and AI.Are you ready to be part of this technological evolution? This is your opportunity to join a dynamic team poised for hyper growth. ECL was founded by industry veterans from renowned organizations including Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.Data Center TechnicianLocation: Mountain ViewReports To: Director, Data Center Site Services Position OverviewThe Data Center Technician plays a crucial role in supporting the daily operations and maintenance of critical systems within a mission-critical data center environment. This position is essential for ensuring uptime, monitoring system performance, and executing standardized procedures across electrical and mechanical systems.This role emphasizes hands-on operational support, preventive maintenance, documentation accuracy, and compliance with safety standards. Work will be conducted following established protocols under the guidance of site leadership. Key ResponsibilitiesElectrical Systems Support· Assist in monitoring and maintaining UPS systems, switchgear, transformers, PDUs, generators, fuel cells, and BESS (Battery Energy Storage Systems, as applicable).· Support switching activities under approved MOPs (Method of Procedures) and supervision.· Record system readings and report any abnormalities.· Assist with redundancy checks following maintenance efforts.Mechanical & Cooling Support· Support the operation of essential cooling systems, both air and liquid-based.

Waymo is at the forefront of autonomous driving technology, aiming to be the most trusted driving partner globally. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the loss of lives in traffic incidents. The Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million trips completed and over 100 million miles driven autonomously on public roads, Waymo is paving the way for safer and efficient transportation across 15+ states in the U.S.Waymo's Product Data Science team collaborates closely with Engineering, Product, and Operations to drive data-informed decision-making across the organization. We engage in high-impact projects that span quality assurance, operational efficiency, market analysis, and rider satisfaction, all aimed at scaling the Waymo Driver safely and effectively. Our team thrives on curiosity, adaptability, and a data-driven mindset.This position follows a hybrid work model, reporting directly to the Manager of Product Data Science.

Join ECLDC, the trailblazer in the data center industry, as we revolutionize the future with the world's first hydrogen-powered off-grid green data center. With an unparalleled uptime of 99.999%, we are at the forefront of meeting the burgeoning demands of AI and Machine Learning. What was once a distant vision is now a tangible reality, and our modular architecture allows for scalable solutions from 1-2MW, catering to even the largest data center needs. This is your opportunity to contribute to a groundbreaking green power generation system in an era defined by technological advancements in Machine Learning and Artificial Intelligence.Be part of this extraordinary journey as we prepare for hyper-growth. ECLDC was founded by industry veterans from leading companies such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.

Be a Part of Shaping the Future of Home RoboticsAt Sunday, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is ambitious: to democratize access to versatile robots, allowing families to reclaim precious time for what truly matters.After 18 months of dedicated efforts in building a talented team, securing investment, and validating our technology, we are now on the lookout for passionate professionals to join us in this exciting growth phase. If you are eager to leverage your expertise in robotics innovation, we want to connect with you.Role OverviewData is the core of our operations. As a Full Stack Engineer specializing in Data Operations, you will contribute to enhancing our platform that manages the data pipeline. This includes tracking thousands of memory developers worldwide and creating high-fidelity tools for auditing, filtering, and qualifying hundreds of hours of data daily.Key ResponsibilitiesMemory Developer Systems: Collaborate with the Data Operations team to build an internal platform that oversees thousands of remote memory developers, ensuring a consistent and high-quality data stream through performance tracking and hardware health monitoring.The Audit Lab: Design and implement high-performance React interfaces for replaying and validating human motion data, enabling our team to curate top-tier datasets from numerous uploads.Data Ingestion & Orchestration: Architect robust backend services capable of processing large volumes of data, ensuring readiness for auditing.Startup Agility: While your primary focus will be on Data Operations, our dynamic environment may require you to adapt to shifting priorities and engage with various aspects of the tech stack as we expand.

We are seeking a skilled and strategic Data Operations Manager to join our dynamic team at bespokelabs. In this role, you will oversee and optimize our data management processes, ensuring accurate data flow and efficient operations. You will lead a team dedicated to enhancing our data infrastructure while collaborating with cross-functional departments to drive insights from our data assets.

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

About GranicaGranica is a pioneering AI research and infrastructure firm dedicated to creating reliable, steerable representations for enterprise data.We build trust through Crunch, a policy-driven health layer that ensures large tabular datasets are efficient, reliable, and reversible. Leveraging this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, providing trustworthy answers and automation with inherent provenance and governance.Engineering Manager – Foundational Data Systems for AILocation: Mountain View, CA (in-office, 5 days a week)Team: Foundational Data SystemsRole OverviewWe are seeking an Engineering Manager to spearhead Granica's Foundational Data Systems—the essential infrastructure layer upon which all other systems rely.You will oversee a globally distributed team of approximately 15-20 senior engineers based in the US, India, and Canada, with direct accountability for long-lived systems encompassing storage, metadata, and distributed computing. This role transcends traditional people management; it is a hands-on leadership position with significant architectural influence, responsible for crafting systems that must be accurate, durable, and efficient at an enterprise scale.The systems developed by this team are pivotal in determining Granica’s ability to convert cutting-edge research into dependable products, ensuring our customers trust the data foundations that their analytical and AI workloads rely upon.This position is perfect for a technically adept leader who is passionate about team building, designing long-lasting systems, and operating with high levels of trust and ownership.Why This Role MattersContemporary AI and analytics systems face constraints not from models, but from the inefficiency and fragility of the underlying data infrastructure. Redundant data layouts, fragile metadata, and costly execution paths lead to increased expenses, slower iterations, and operational risks.Granica’s mission is to eliminate these inefficiencies at the foundational level.We engineer self-optimizing data systems that perpetually reorganize, compress, and manage structured data to remain efficient, reliable, and reversible as it evolves. These systems act as a resilient substrate for analytics, automation, and AI workloads—where accuracy, provenance, and governance are paramount.

Please complete the attached Internal Transfer Request Form and submit.Ensure that you apply using your Coupang email address.This role is open to both Mountain View and Seattle locations.At Coupang, we are dedicated to astonishing our customers. When we hear our customers exclaim, “How did we ever live without Coupang?” we know we are on the right track. Fueled by a commitment to simplify shopping, dining, and living, we are revolutionizing the multi-billion-dollar e-commerce sector from the ground up. As one of the fastest-growing e-commerce companies, we are seeking passionate individuals to join our innovative team.

Join Our TeamWe are seeking a Senior Data Engineer to become an integral part of our Data Platform team at Otter.ai. In this pivotal role, you will construct the essential data infrastructure that fuels analytics, experimentation, and decision-making across our organization. Your expertise will guide the design and ownership of foundational data models, pipelines, and platforms, enabling self-serve analytics and delivering trustworthy insights at scale.As a technical thought leader, you will collaborate closely with teams in Growth, Product, Sales, Marketing, Data Insights, and Engineering, helping them derive meaningful value from data. This is a high-impact role within a dynamic company, allowing you to influence how data is collected, modeled, and utilized to propel our business forward.Your ContributionsConstruct and manage foundational data models that facilitate self-serve analytics and critical business metrics.Design, operate, and enhance robust data pipelines and platforms.Collaborate with stakeholders to convert business requirements into reliable data products.Establish standards for data collection and logging across production systems.Promote best practices for data modeling, quality, and governance.Implement data quality checks, statistical validation, and anomaly detection processes.Provide technical leadership that enhances data reliability and literacy across teams.

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.

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.

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.

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.

At Intrinsic Robotics, a part of Alphabet, we are on a mission to revolutionize industrial robotics. We believe that advancements in artificial intelligence, perception, and simulation will redefine the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. Our vision is to make industrial robotics more intelligent, accessible, and user-friendly for countless businesses, entrepreneurs, and developers. We are a vibrant team of engineers, roboticists, designers, and technology enthusiasts dedicated to unlocking the creative and economic potential of industrial robotics.Role OverviewAs a Software Engineer on our Data Infrastructure team, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that drives our state-of-the-art robotics systems. Your contributions will facilitate the design, development, and operational workflows for robotics, integrating with Kubernetes-based cloud and on-device services. This includes the systems responsible for collecting and processing real-world data from our robots, feeding that information into our machine learning pipelines to train and assess the models that empower our robots with intelligence. You will collaborate closely with an enthusiastic Product and Engineering team to create software that enhances the capabilities of fleets of robots.Your Impact on Our MissionDesign, develop, and maintain scalable and reliable data pipelines for the collection, processing, and storage of vast amounts of robotics data (including sensor data, telemetry, and logs).Construct data pipelines to train the next generation of functional robot models.Develop and support tools and infrastructure for data exploration, analysis, and visualization.Implement and uphold best practices for data security and privacy.Collaborate with Customers, Product Managers, and Researchers to tailor data pipelines for analysis and research.

About Contextual AI At Contextual AI, we are pioneering a transformation in the way AI Agents operate by tackling the most pressing challenge in AI: context. By providing the right context at the right moment, we enable enterprises to achieve the precision and scalability they need from AI. Our robust enterprise AI development platform bridges the gap between cutting-edge AI research and the practical needs of developers. Our comprehensive platform simplifies the process for AI developers to seamlessly ingest and query documents from enterprise data sources, integrating retrieval outcomes into their business workflows effortlessly. Founded by the trailblazers of Retrieval-Augmented Generation (RAG), the foundational technology that links foundational models to timely and relevant data, Contextual AI is backed by some of the most innovative venture capitalists in the industry. We are not merely a part of the enterprise AI revolution; we are at its forefront. Join us in creating a future where AI transcends mere question answering to genuinely transform businesses. Job Overview The Data Platform team within Contextual AI is integral to powering product development, applied research, and managing data-heavy workloads for our customers. This is a unique opportunity to influence the technical vision of the data engineering team, contributing to groundbreaking projects within a greenfield environment. What You’ll Do: Design and develop scalable services, APIs, and databases to efficiently handle the daily processing and ingestion of petabytes of data. Enhance state-of-the-art multimodal LLMs to maximize document understanding capabilities. Create and implement thorough evaluation pipelines for end-to-end agentic RAG workflows. Architect and construct streaming infrastructure and data orchestration systems, including vector databases. Collaborate with machine learning researchers to interpret state-of-the-art requirements for RAG systems, translating them into actionable service specifications. Engage directly with product managers and application engineers to gather customer requirements for end-to-end RAG systems, and convert these into viable technical solutions. Ensure seamless integration with machine learning models and pipelines, facilitating effective model deployment and management. Provide mentorship and guidance to junior team members, fostering a culture of knowledge sharing and professional development. What We’re Seeking: Education: A Bachelor’s degree in Computer Science, Software Engineering, or a related field. Experience: Minimum of 2 years of relevant experience in data engineering or a related field. Strong understanding of scalable data architectures and design principles. Proficiency in modern programming languages and frameworks. Experience with machine learning principles and practices is a plus.

At Coupang, we strive to amaze our customers. We want to hear them say, "How did we ever live without Coupang?" Our mission is driven by a passion for simplifying shopping, dining, and everyday living. As a key player in the multi-billion-dollar e-commerce sector, we are rapidly transforming the industry from the ground up. Proudly recognized as one of the fastest-growing e-commerce platforms, we have built an exceptional reputation as a reliable leader in South Korean commerce.Coupang embodies the best of both worlds: a dynamic startup culture combined with the resources of a large, globally recognized public company. This unique environment empowers us to foster growth and introduce innovative services at an unprecedented pace. We cultivate an entrepreneurial spirit, offering opportunities to initiate and drive new projects. Our team is composed of ambitious individuals eager to make a tangible impact, and at Coupang, you will witness both personal and professional growth alongside your colleagues and the company as a whole.Join us in our commitment to revolutionizing the future of commerce. We continuously challenge the limits of what's possible, ensuring that we remain at the forefront of the industry.

Dnanexus is seeking a Sales Operations Manager based in Mountain View. This position centers on supporting sales strategy and refining operational processes to help the team reach its goals. Role overview The Sales Operations Manager works closely with teams across the company to improve sales performance. This includes identifying ways to make workflows more efficient and introducing practices that help the sales team operate smoothly. Key responsibilities Collaborate with other departments to support sales initiatives Streamline processes to boost efficiency and profitability Help implement practices that improve overall sales results Location This role is based in Mountain View.

About UsAt MAI, pronounced “my,” we are dedicated to revolutionizing advanced advertising technology. Our mission is to make cutting-edge marketing tools, once reserved for large corporations, accessible to businesses of all sizes. Through our innovative platform leveraging AI agents, we automate and enhance performance marketing, enabling small and mid-sized businesses to profitably scale their ad spend without relying on agencies or spending countless hours on manual campaign management.Founded by seasoned professionals from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to accelerate our growth. This investment will help us expand our product and engineering teams to realize our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, assisting clients in achieving 40% more sales and managing millions in monthly Google Ads expenditures. We are experiencing a rapidly growing client waitlist.Why Join Us Now?As we venture into the uncharted territory of building infrastructure for autonomous, intelligent agents, you will not merely be writing code; you will be the architect of the environment where our AI agents thrive. You will have a significant impact across our entire stack—from the foundational data platforms that support our agents to the core frameworks that empower them to reason, and the scalable systems that deliver their intelligence to our customers. This is a unique opportunity to create a truly AI-native product and tackle challenges at the forefront of the industry.You will be a vital member of a small, focused team of fewer than ten engineers, with the opportunity to shape the future of our organization. We are in the early stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis role offers you the chance to grow your skills as these teams develop, encouraging you to leverage your specializations while exploring new projects and learning from your peers.

Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—the world's most experienced driver—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and product applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across more than 15 U.S. states, we are redefining transportation.The Perception team is dedicated to building systems that learn the spatial-temporal representations and semantic meanings of the environment around the autonomous driving vehicle (ADV). We collaborate closely with downstream teams to optimize and integrate these systems into the Waymo Driver. Our research tackles real-world challenges and involves collaboration with Alphabet’s research teams. With access to millions of miles of diverse driving data from various sensors, our engineers develop methods for efficient and continuous learning from large-scale real-world data, model training at scale, real-world behavior analysis, and optimizing models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.