Software Engineer, AI Systems & Infrastructure - AI Geospatial Assistant Team

Welcome to Planet Labs. We are dedicated to leveraging space technology to enhance life on Earth.As the architects of the largest constellation of imaging satellites ever created, Planet Labs provides an unparalleled dataset of empirical information through our innovative cloud-based platform. Our impact spans commercial, environmental, and humanitarian sectors, merging our identity as both a space and data company.Our data empowers customers globally to innovate, drive revenue, conduct research, and tackle the most pressing challenges our world faces.At Planet, we manage every aspect of hardware design, manufacturing, data processing, and software engineering, fostering a dynamic environment filled with experts from diverse fields.We prioritize a people-first approach in our corporate culture and community, striving for continuous improvement to support our team members and prepare for future growth. Join us at Planet Labs and contribute to our mission of transforming global perspectives.With a global workforce, our employees work remotely from locations including San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.About the Role:Planet Labs aims to capture daily images of the entire world, making significant global changes visible, accessible, and actionable. We are at a pivotal moment, transitioning from extensive AI research to a focused delivery model. To facilitate this, we are establishing a new product group dedicated to launching an AI Geospatial Assistant that will revolutionize how our customers utilize global imagery to address critical challenges in forensics and daily change detection.Our objective is to simplify complex insights through an intuitive interface, requiring no user training. Operating with a startup mentality, our team emphasizes rapid learning and customer-driven milestones to efficiently progress from private alpha to general availability.As a Software Engineer, you will play a key role in developing the backend systems that will bring our AI Geospatial Assistant to fruition. While our research teams focus on creating core models, you will be tasked with the 'last mile' of delivery, designing high-throughput backend services, scaling our systems, and ensuring that our workflows operate swiftly, reliably, and cost-effectively on a global scale.This position is full-time and hybrid, requiring you to work from our San Francisco office three days a week.

Welcome to Planet. We harness the power of space to enhance life on Earth.As the architects of the largest constellation of imaging satellites in history, Planet provides an unparalleled dataset of empirical insights through a groundbreaking cloud-based platform. Our services cater to pivotal sectors including commercial, environmental, and humanitarian domains, merging our identity as both a space and data company.Our clients worldwide leverage Planet’s data to innovate technologies, boost revenue, facilitate research, and tackle some of the world's most pressing challenges.At Planet, we manage every aspect of hardware design, manufacturing, data processing, and software engineering, creating an inspiring workplace filled with specialists from diverse fields.We prioritize a people-centric culture and community, continuously evolving to place our team members first while preparing for our company's growth. Join us in transforming how the world perceives itself through our innovative mission.With a global workforce, our team operates remotely and from various offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.About the Role:At Planet, our mission is to capture daily images of the entire planet, rendering global changes visible, accessible, and actionable. We stand at a pivotal moment, transforming groundbreaking AI research into a delivery-oriented enterprise product. To this end, we are establishing a dedicated product group to launch the AI Geospatial Assistant, revolutionizing the way our customers interact with global imagery to address critical challenges in forensics and daily change detection.Our objective is to render complex insights user-friendly through an intuitive interface that requires no prior training. Operating with a startup mentality, our team emphasizes rapid learning and customer-driven success criteria, swiftly advancing from private alpha to general availability.As the Senior Engineering Manager, you will lead a dynamic team alongside your product partner throughout this exciting transition. You will manage a high-velocity group of engineers tasked with evolving geospatial AI capabilities into a robust, market-ready product. Your focus will be on operational excellence, defining success metrics, managing project scope, and ensuring our cutting-edge technology evolves into a reliable tool that offers a sustainable competitive edge for our clients.This is a full-time, hybrid role, requiring in-office work at our San Francisco location three days a week.

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

Join Scale AI's innovative team as an Infrastructure Software Engineer for our Enterprise Generative AI Platform (SGP). In this dynamic role, you will help design and enhance our enterprise-grade AI platform, which offers robust APIs for knowledge retrieval, inference, evaluation, and more. We're seeking an exceptional engineer who thrives in fast-paced environments and is eager to contribute to the scaling of our core infrastructure. The ideal candidate will possess a solid foundation in software engineering principles and extensive experience with large-scale distributed systems. Your role will involve implementing solutions across various cloud providers (GCP, Azure, AWS) for clients in highly regulated sectors, including healthcare, telecommunications, finance, and retail.

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT Solutions!Every second is crucial in wildfire response. As climate change intensifies wildfires with prolonged seasons, drier fuels, and swifter winds, the speed at which new ignitions spread poses a greater threat to communities. Currently, wildfires are primarily reported by bystanders through 911 calls, leading to delays of hours in detecting, confirming, and responding to fires. To protect lives and property, fire authorities require a more efficient method for fire detection and confirmation.About Pano AI: We are a rapidly growing, hybrid-remote startup based in San Francisco, consisting of over 150 dedicated professionals. Pano AI is at the forefront of early wildfire detection technology, empowering fire professionals to respond swiftly and safely with the right tools, timely insights, and improved coordination. Our platform integrates advanced hardware, software, and artificial intelligence, offering an intuitive web-based interface. By utilizing a network of ultra-high-definition 360-degree cameras installed at strategic locations, along with satellite and other data feeds, we provide real-time situational awareness of threats in a given area, delivering immediate and actionable intelligence.Pano AI is recognized as one of TIME's 100 Most Influential Companies of 2025! Additionally, MIT Technology Review has identified us as one of the top 15 climate tech companies to watch in 2024, and Fast Company included us in their list of the Top 10 Most Innovative Companies in AI of 2023. We've been featured in leading publications like the Wall Street Journal and Bloomberg. Join us in making a difference!

Scale AI is on the lookout for an exceptionally talented and driven Software Engineer, Frontier AI Infrastructure to become an integral part of our innovative Public Sector Engineering team. In this role, you will take charge of the model inference layer, enabling cutting-edge AI models, troubleshooting the latest AI tools, managing networking tasks, addressing latency issues, and monitoring pricing and usage metrics for AI models. You will spearhead technical discussions with cloud vendors and clients to fulfill critical contracts and resolve platform challenges. Additionally, you will collaborate closely with Product teams to anticipate feature requirements, transitioning from reactive 'infra-only debugging' to proactive integration testing.Your Responsibilities Include:Designing and implementing secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's advanced cloud-native AI infrastructure.Owning services or systems while defining long-term health objectives and enhancing the health of related components.Redesigning the architecture to operate in compliant or restrictive environments, which entails creating swappable components (authentication, storage, logging) to adhere to government and security regulations without compromising product integrity.Collaborating with Product teams to develop integration tests that identify issues early, shifting focus from 'infra-only debugging' to preventing upstream failures.Actively participating in customer engagements, liaising with stakeholders to comprehend requirements and deliver innovative solutions.Contributing to the platform roadmap and product strategy for Scale AI's Public Sector division, playing a vital role in shaping the future trajectory of our offerings.

About Us:At novita-ai, we are a rapidly growing global provider of AI cloud infrastructure, leading the charge in the artificial intelligence revolution. Our innovative platform equips developers and enterprises with powerful, scalable, and user-friendly solutions such as Model APIs, GPU Instances, and Serverless Computing. As organizations around the globe strive to integrate AI into their offerings, we serve as the essential engine that fuels their innovative efforts.Join our world-class team and contribute to our expanding customer base. This unique opportunity allows you to be part of a dynamic company in a hyper-growth market, where your technical skills will directly impact customer success and drive our business forward.The Role:As a Solutions Engineer, you will act as the primary technical leader and trusted advisor for our clients throughout their journey. You will collaborate closely with the sales team to bridge the gap between complex customer challenges and our sophisticated technical solutions. Your mission is to build technical credibility, demonstrate the capabilities of our platform, and design tailored solutions that empower our clients to achieve their AI-related business objectives.What You'll Do:Technical Discovery & Solution Design: Collaborate with Account Executives to gain a deep understanding of customer needs, technical requirements, and business goals. Develop elegant and effective solutions utilizing our AI infrastructure stack (Model APIs, GPU Instances, Serverless).Product Demonstration & Proof of Concept (POC): Conduct engaging, customized product demonstrations and interactive workshops. Plan, manage, and execute successful POCs, showcasing the value and performance of our platform within the client’s environment.Technical Evangelism & Trusted Advisory: Communicate the value proposition of our platform to diverse audiences, including both technical and non-technical stakeholders, from engineers to C-level executives. Establish yourself as the go-to expert for customers on best practices in AI infrastructure.Sales Enablement & Market Feedback Loop: Create and maintain technical sales materials, including whitepapers, best practice guides, and demo scripts. Serve as the voice of the customer, relaying valuable feedback from the field to our Product and Engineering teams to influence our product roadmap.Onboarding & Implementation Guidance: Facilitate a seamless post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for sustained success.

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

Join Our Team as a Software Engineer - AI InfrastructureLocation: North America Remote / San Francisco · Full-TimeAt Andromeda Cluster, we are dedicated to democratizing access to advanced AI infrastructure that was once only available to hyperscalers. Founded by industry leaders Nat Friedman and Daniel Gross, we have evolved from a singular managed cluster to a global platform that connects top AI labs, data centers, and cloud providers around the world. Our orchestration layer efficiently manages training and inference tasks globally, enhancing flexibility and efficiency in this rapidly expanding sector. We aim to create a global marketplace for AI computing, empowering AGI with the same fluidity as global financial markets.As we continue to grow, we are on the lookout for talented individuals in the fields of AI infrastructure, research, and engineering.Your RoleIn the position of Infrastructure Product Engineer, you will be integral in constructing the foundational framework of Andromeda’s platform. Your challenge will be to simplify complex, real-world infrastructure issues into scalable product solutions that our customers will benefit from.Key ResponsibilitiesArchitect and develop essential platform components, focusing on infrastructure orchestration, provisioning, and lifecycle management solutions.Create robust APIs, services, and control planes that abstract diverse infrastructure types, including VMs, Kubernetes, bare metal, and schedulers.Convert customer usage patterns into actionable product requirements, delivering impactful features and enhancements.Design automation and internal tools to mitigate manual and ad-hoc operational tasks.Improve platform reliability, performance, and observability, focusing on sustainable enhancements rather than quick fixes.Collaborate with other teams to establish clear ownership boundaries between platform features and customer-specific solutions.Write clean, maintainable, and well-documented code with a focus on long-term sustainability.Engage in technical design discussions and contribute to the architectural advancements of our platform.

About Retell AIAt Retell AI, we are pioneering the future of call centers through innovative voice AI technology. Our cutting-edge solutions are transforming how companies engage with customers.In just 18 months since our inception, we've empowered thousands of businesses with our AI voice agents that efficiently manage sales, support, and logistics calls, significantly reducing the need for large teams of human agents. Supported by industry-leading investors including Y Combinator and Alt Capital, we've grown our annual recurring revenue from $5M to an impressive $36M while expanding our team from 5 to 20 talented individuals since 2025.Our ambitious vision for 2026 is to develop a state-of-the-art customer experience platform where entire contact centers are driven by AI. Unlike basic automation requiring constant human oversight, we’re engineering intelligent AI “workers” capable of serving as frontline agents, quality assurance analysts, and managerial roles, all while optimizing customer interactions continuously.We are rapidly expanding and seeking driven builders who thrive on solving complex technical challenges, act decisively, and wish to make a tangible impact in one of the fastest-growing voice AI startups.Join us in shaping the future!Recognized as a top 50 AI application in the a16z list: https://tinyurl.com/5853dt2xRanked #4 in Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025Featured among the top startups on: https://leanaileaderboard.com/

About EventualAt Eventual, we are reimagining how AI applications process vast amounts of data, from images to complex datasets. Traditional data platforms are not equipped to handle the petabytes of multimodal data essential for AI, causing teams to struggle with inadequate infrastructure. Founded in 2022, our mission is to simplify data querying, making it as intuitive as working with tables while ensuring scalability for production workloads.Our open-source engine, Daft, is specifically designed for real-world AI systems. It efficiently manages external APIs, GPU clusters, and addresses failures that traditional engines cannot handle. Daft is already integral to operations at leading companies such as Amazon, Mobileye, Together AI, and CloudKitchens.We pride ourselves on our exceptional team, which includes talents from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and others. We have quadrupled our team size in just a year, supported by Series A and seed funding from notable investors like Felicis, CRV, Microsoft M12, and Y Combinator. We are now eager to expand further. Join us—Eventual is just getting started.We are seeking passionate individuals who are excited to collaborate in a close-knit team environment, working together four days a week in our San Francisco Mission district office.Your Role:As a Software Engineer, you will take charge of developing Eventual's core products and architecture. You’ll deliver features that our customers will use immediately and collaborate with a dedicated team that values open communication and cross-functional teamwork. Our fast-paced environment is focused on solving a variety of complex technical and product challenges. While our experienced team is here to provide guidance and mentorship, we appreciate engineers who can independently identify and tackle challenging technical issues.Key Responsibilities:Design and develop highly reliable and resilient products and features.Collaborate closely with cross-functional product and customer-facing teams to understand requirements and deliver thoughtful solutions.Write high-quality, extensible, and maintainable code.Create and build scalable applications and components.Architect and manage Kubernetes clusters optimized for our needs.

About AnthropicAt Anthropic, our mission is to develop AI systems that are reliable, interpretable, and steerable. We are committed to ensuring that AI technology is safe and beneficial for our users and society at large. Our rapidly expanding team comprises dedicated researchers, engineers, policy experts, and business leaders, all working collaboratively to create beneficial AI solutions.About the RoleThe Infrastructure organization at Anthropic plays a critical role in our mission to create reliable AI systems. The systems we develop are essential for accelerating the training of new models, conducting safety experiments effectively, and scaling our AI technology, Claude, to serve millions of users. We strive to demonstrate that robust infrastructure and cutting-edge capabilities can work together harmoniously.The Systems engineering team is responsible for ensuring compute uptime and resilience at scale, building the clusters, automation, and observability that enable safe and effective frontier AI research and deployment.Team Matching: After the interview process, team assignments are based on interview performance, individual interests, and business needs. Candidates may be considered for various Infrastructure teams.

Genesis Molecular AI is building the GEMS molecular AI platform, driving advances in foundation model training and industrial screening. Strategic partnerships and a strong compute infrastructure are central to the company’s growth and mission. Role Overview The Director of AI Infrastructure Partnerships will lead efforts to secure and manage critical technology alliances, investments, and compute resources. This leader will work closely with top AI organizations, hardware providers, and investors, including firms like a16z and NVIDIA, to support Genesis’s technical and business goals. The role is based in either New York City or the San Francisco Bay Area. What You Will Do Oversee partnerships with NVIDIA and identify new opportunities with leading AI organizations. Structure contracts, equity deals, technical collaborations, co-publications, and data-sharing agreements for both public and proprietary experimental and synthetic data. Create presentations and written materials that clearly communicate Genesis’s platform vision and technical strengths to partners and investors, and integrate these messages into broader external communications. Serve as the business lead and chief negotiator for major cloud computing and AI infrastructure deals. Secure high-performance compute at competitive rates and maintain strong relationships with key partners. Monitor the AI compute market, evaluating providers for cost, reliability, and availability to support research and deployment needs. Work with ML Engineering to forecast compute requirements for model training, synthetic data generation, fine-tuning, and large-scale inference. Optimize performance and budget across multiple cloud environments and track usage to maximize value. Manage the internal budgeting process for compute spend. Translate technical needs into financial forecasts and present capital allocation recommendations to company leadership. What We’re Looking For Significant experience in AI and cloud computing, including managing high-value negotiations and partnerships. Strong analytical and strategic skills, with the ability to assess market trends and make informed decisions. Excellent communication and interpersonal abilities, comfortable explaining complex topics to a range of audiences.

About Rad AIAt Rad AI, we are dedicated to revolutionizing the healthcare landscape through the power of artificial intelligence. Established by a radiologist, our innovative AI solutions are transforming radiology, streamlining processes, alleviating physician burnout, and enhancing patient outcomes. With access to one of the largest proprietary datasets of radiology reports globally, our AI has been instrumental in identifying hundreds of new cancer cases and has reduced error rates in millions of radiology reports by nearly 50%.Having secured over $140 million in funding, including a highly successful Series C round of $68 million led by Transformation Capital, we now boast a valuation of $528 million. Our esteemed investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, all united in our vision to empower physicians with state-of-the-art AI technology.Our latest advancements in generative AI are utilized daily by thousands of radiologists, supporting over one-third of radiology groups and healthcare systems, and nearly 50% of all medical imaging in the U.S., partnering with distinguished institutions such as Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are committed to building AI-powered solutions that make a significant difference. Recently, Rad AI was honored to be included in CNBC’s Disruptor 50 list, underscoring the innovation and momentum driving our mission.If you’re eager to help shape the future of healthcare, we invite you to join our dynamic team!Why Join UsThe Platform Engineering team at Rad AI lays the groundwork that sustains all our products—Reporting, Impressions, and Continuity—enabling product teams to deliver reliably, securely, and at scale. Within this framework, the Infrastructure team is responsible for our core cloud infrastructure, platform stability, and reliability practices. We are on the lookout for multiple Infrastructure Engineers to assist us in designing and operating robust, scalable systems. In this role, you will play a key part in infrastructure architecture, reliability practices, and the thoughtful enhancement of our workflows. If you have a passion for building resilient systems, we want to hear from you!

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

Join Our MissionAt Hyperbolic Labs, we are dedicated to democratizing artificial intelligence by eliminating barriers to computing power through our Open-Access AI Cloud. We aggregate global computing resources to provide an innovative GPU marketplace and AI inference service, making AI affordable and accessible for everyone. As pioneers at the crossroads of AI and open-source technology, we envision a future where AI innovation is driven by imagination, not resource limitations. We invite forward-thinking individuals who share our vision of making AI universally accessible, secure, and cost-effective to join us in crafting a platform that empowers innovators to realize their groundbreaking AI projects.As we gear up for expansion following our Series A funding, our team, led by co-founders with PhDs in AI, Mathematics, and Computer Science, is set to transform the landscape of computing.The RoleWe are on the lookout for a Senior Infrastructure Engineer to drive the development and scaling of Hyperbolic's GPU Cloud Marketplace. In this pivotal role, you will create a multi-tenancy provisioning and virtualization solution that transforms raw GPUs from diverse global suppliers into a programmable, orchestrated resource pool serving thousands of AI developers and researchers. You will work at the forefront of cloud infrastructure, building the core orchestration layer that allows our platform to deliver cost savings of up to 75% compared to traditional cloud providers.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.