About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

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.

About Okta Okta secures identity for both humans and AI, building trusted infrastructure so organizations can move confidently through change. The company takes on complex, real-world challenges with a focus on practical solutions. Okta values urgency, excellence, and collaboration across its teams. Role Overview: Staff Software Engineer, Developer Foundations The Developer Foundations team is hiring a Staff Software Engineer in San Francisco, California. This engineer will help Okta scale its systems and speed up software delivery. The focus: refining Okta’s approach to Continuous Delivery, and improving engineering velocity and productivity across teams. This role works closely with Engineers, Architects, Operations, Program Management, and Quality Assurance. The team values new ideas and practical solutions that make a difference for internal developers. What You Will Do Build high-quality internal tools and automation to support continuous delivery and improve developer productivity. Design and implement Continuous Delivery pipelines for various projects, using technologies such as Java, Jenkins, AWS, Docker, Python, Node, iOS, Ruby, Bash, and Go. Develop Proof of Concepts, guide technology decisions, contribute to frameworks, and participate in design and code reviews. Roll out deliverables to internal customers in phases, monitor adoption, collect feedback, and adjust solutions to meet internal needs. Maintain pre-production infrastructure on AWS, with attention to monitoring, backup and restore, SLA management, cost control, and deployment processes.

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

Join Our MissionFoundation is on the lookout for exceptional engineers to propel our mission of modernizing the homebuilding industry and enhancing the journey of purchasing, selling, and owning homes.About UsWith an impressive backing of $6.8 million from top venture capitalists, including Y Combinator, Foundation is formed by a team of former Opendoor professionals dedicated to revolutionizing residential real estate.Our flagship product serves as a pioneering customer experience platform tailored for homebuilders, akin to “Shopify for Homebuilders.” We collaborate with large-scale homebuilders to provide a cutting-edge digital customer experience, significantly boosting customer satisfaction and team productivity. In just two years, we’ve achieved notable product-market fit and rapid growth, supported solely by contract design.Our Growth PhasesWe are currently navigating the first of three interconnected growth phases:Innovative, AI-driven vertical SaaS for homebuilding - a public-scale potential in its own right.The enterprise ecosystem for real estate - enabling collaboration among adjacent trillion-dollar industries including lending, title, home insurance, and home services.The AI-native home operating system and interface - leveraging the network effects of the enterprise ecosystem to deliver transformative AI experiences for homebuyers and homeowners. Discover, purchase, and manage your home seamlessly with Foundation.Your RoleIn this pivotal role, you will contribute to creating the most reliable and modern customer experience platform within the homebuilding sector, transitioning traditional workflows into the AI era with insight, pragmatism, and empathy.You will work closely with product and customer teams, engaging in comprehensive stack development, collaborating with design and go-to-market teams, and owning significant portions of the platform from initial discovery to production refinement. Our focus is on real businesses, real revenue, and real users who require robust and reliable tools.

About RoxAt Rox, we are pioneering the development of an AI-native revenue operating system that transforms how enterprises interact with technology. Unlike traditional software designed for human dashboard operators, Rox is engineered for agents managing complex systems.We eliminate static workflows, enabling continuous decision-making processes powered by real-time insights from across the enterprise landscape. Our agents are equipped to analyze signals, reason through them, and autonomously execute actions.To support this innovation, we are constructing a robust infrastructure that integrates:Distributed data platformsReal-time decision-making systemsAgent execution frameworksLow-latency context retrievalBacked by prominent investors like Sequoia, GV, and General Catalyst, we are assembling a talented team of engineers eager to tackle deep technical challenges that have a tangible impact on the world.About the Foundations TeamThe Foundations team is responsible for developing the core infrastructure that powers Rox agents.Our work focuses on:Real-time context ingestionAgent execution and orchestrationEnsuring reliability for long-term AI tasksLow-latency decision-making across distributed systemsIf you have experience with:Streaming compute platformsDistributed query enginesReal-time OLAP systemsMatching enginesLarge-scale data infrastructureMany challenges you encounter here will resonate with your past work but will be applied to a novel category of software. At Rox, agents continuously:Retrieve contextMake decisionsTrigger actionsUpdate stateThe Foundations team builds the infrastructure that ensures these feedback loops are reliable, swift, and observable.The RoleWe are on the lookout for a Foundations Engineer (Deep Infrastructure) to design and oversee the systems that power Rox's agent runtime.

The Role Are you a seasoned software engineer with a passion for technical leadership and a track record of enhancing production systems? If you're eager to leverage your expertise at the forefront of AI technology, this opportunity might be perfect for you. As a Staff Software Engineer on our pioneering Natural Language Understanding team within the “agent lab,” you will be instrumental in our mission to expand the boundaries of what AI agents can accomplish reliably and at scale. You'll lead the transformation of the Moveworks AI Assistant platform in key areas such as agent orchestration, sandboxed file systems, code execution, latency optimization, agent memory management, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. Equipped with cutting-edge enterprise AI tools, including top-tier LLMs from providers like OpenAI, our team focuses on rapid development of scalable infrastructure, tackling complex engineering challenges, and maximizing value for our customers. If you're ready to elevate your career alongside a passionate and impact-driven team, we would be thrilled to engage with you.

At Databricks, we are driven by our commitment to empower data teams in tackling the world's most challenging problems — from transforming transportation solutions to accelerating medical advancements. Our mission revolves around constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business outcomes.Foundation Model Serving represents the API product designed for hosting and serving advanced AI model inference, catering to both open-source models like Llama, Qwen, and GPT OSS, as well as proprietary models such as Claude and OpenAI GPT. We welcome engineers who have experience managing high-scale operational systems, including customer-facing APIs, Edge Gateways, or ML Inference services, even if they do not have a background in ML or AI. A passion for developing LLM APIs and runtimes at scale is essential.As a Staff Engineer, you will play a pivotal role in defining both the product experience and the underlying infrastructure. You will be tasked with designing and building systems that facilitate high-throughput, low-latency inference on GPU workloads with cutting-edge models. Your influence will extend to architectural direction, working closely with platform, product, infrastructure, and research teams to deliver an exceptional foundation model API product.The impact you will have:Design and implement core systems and APIs that drive Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.Collaborate with product and engineering leaders to outline the technical roadmap and long-term architecture for workload serving.Make architectural decisions to enhance performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.Contribute directly to critical components within the serving infrastructure, from systems like vLLM and SGLang to developing token-based rate limiters and optimizers, ensuring seamless and efficient operations at scale.Work cross-functionally with product, platform, and research teams to transform customer requirements into dependable and high-performing systems.Establish best practices for code quality, testing, and operational readiness while mentoring fellow engineers through design reviews and technical support.Represent the team in inter-departmental technical discussions, influencing Databricks’ wider AI platform strategy.

About the Foundations Retrieval Team The Foundations Research group at OpenAI explores new approaches that could shape artificial intelligence for years to come. The team focuses on improving the science and data behind model training and scaling, especially for future advanced models. Areas of focus include data utilization, scaling laws, optimization strategies, model architectures, and efficiency improvements. Within Foundations, the Search team builds agentic search solutions. This group works closely with others to design interfaces between models and the core search stack, serving, indexing, and retrieval, so model intent leads to reliable, real-world results. The team develops large-scale systems to transform and index massive information sources, enabling models to reason over global knowledge. Close collaboration with researchers helps move new modeling ideas into production quickly, changing how intelligent systems discover and synthesize information at scale. Role Overview OpenAI is hiring a Software Engineer with expertise in retrieval system development and scalability for its San Francisco office. This role involves working with researchers and engineers to build infrastructure that lets models access the right information when needed. Responsibilities include designing and operating indexing systems, retrieval pipelines, and serving layers. Work in this role will directly improve retrieval capabilities across OpenAI’s research and products, with a strong influence on system performance, reliability, and scalability. What You’ll Do Develop and scale retrieval infrastructure, including indexing, serving, and query execution. Build low-latency, high-throughput systems for real-time model interactions. Work with research teams to bring embedding and retrieval methods into production. Support dense, sparse, and hybrid retrieval pipelines. Maintain system performance, reliability, and observability at scale. Collaborate with Pretraining, Inference, and Product teams to deliver end-to-end retrieval solutions. Help develop model-system interfaces for agentic workflows. Who We’re Looking For Experience building and scaling distributed systems. Background in developing high-performance, low-latency systems. Hands-on work with indexing and retrieval techniques. Familiarity with hybrid retrieval systems. Comfort working collaboratively across multiple teams.

About Our TeamThe Applied Foundations team at OpenAI is at the forefront of safeguarding our innovative technology against diverse adversarial threats. Our primary mission is to ensure the integrity and security of our platforms as they grow.We are dedicated to defending against financial misuse, large-scale attacks, and other forms of exploitation that could compromise user experience or destabilize our operations. The Integrity Foundations team lays the groundwork and infrastructure to support this critical mission.About the RoleAt OpenAI, we aim to advance artificial intelligence in a manner that is safe, reliable, and aligned with broader societal values. The role of Software Engineer in Applied Foundations is vital for maintaining the dependability of our platforms. You will play a key role in developing strong defenses against a variety of adversarial behaviors that threaten our ecosystem.In this position, you will collaborate with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and mitigate risks across our platform. You will be at the forefront of our initiatives to responsibly and sustainably harness the vast potential of AI.Key Responsibilities:Design and enhance systems to identify and prevent various forms of abuse, including financial fraud, botting, and scripting.Work collaboratively with cross-functional teams to create solutions that defend against adversarial attacks while preserving an optimal user experience.Assist in responding to active incidents on the platform and develop new tools and infrastructure to address fundamental challenges.You will excel in this role if you:Possess a minimum of 3 years of professional experience in software engineering.Have experience in setting up and maintaining production backend services and data pipelines.Exhibit a humble attitude, a willingness to support colleagues, and a commitment to team success.Demonstrate self-direction and enjoy innovating solutions to complex problems.Take ownership of issues from start to finish and are eager to acquire any necessary knowledge to achieve your goals.Have a passion for AI safety in production environments and the skills to build effective software systems.

Join Zip as a talented Software Engineer in our AI Foundation team, where you'll play a crucial role in developing innovative AI solutions. This position offers the opportunity to work on cutting-edge technologies and contribute to projects that impact millions. If you have a passion for artificial intelligence and software development, we want to hear from you!

With support from prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private sector entities to tackle societal challenges with unparalleled speed and precision. Our AI-driven platform transforms isolated and disparate data into actionable intelligence, rapidly presenting critical information that enables improved decision-making and outcomes. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, as we broaden our reach into enterprise markets and international territories.TeamOur engineering team is deeply committed to the idea that empathy enhances our solutions. Understanding how users interact with our products is fundamental to our approach. Engineers have the unique opportunity to collaborate closely with our onsite team to grasp the diverse use cases that Peregrine addresses.We cherish both ownership and teamwork; you will be fully accountable for significant features while working hand-in-hand with fellow engineers to ensure successful delivery. We believe that humility and empathy are critical for crafting effective solutions, and you will engage directly with our deployment team and users as we refine our offerings to meet their needs. Ingenuity and perseverance are vital in realizing our vision.RoleAs part of our new AI team, you will play a key role in delivering unique value to our clients. This team is responsible for designing powerful and intuitive user experiences powered by generative AI. You will explore entirely new interaction methods for users—whether through natural language commands or by enabling AI agents to manage complex tasks on their behalf. Your contributions will shape impactful AI-driven features that assist customers in solving real-world challenges more efficiently.Your work will encompass a variety of intricate challenges, including scaling our platform to process terabytes of data from multiple sources, efficiently querying and alerting users about this data in real-time, and optimizing search algorithms for swift result delivery.While our technology stack is continuously evolving, it is built on a foundation that includes Python, Django, Celery, Airflow, and Kafka for the backend; React, Redux, and Mapbox for the frontend; PostgreSQL and Elasticsearch for data storage; machine learning models hosted in Bedrock and Sagemaker; and utilizing AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.

Employee Applicant Privacy NoticeWho We Are:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing the way individuals engage with personal finance, leveraging innovative, mobile-first technologies to empower millions of members in achieving their financial goals. We pride ourselves on being at the forefront of an unprecedented transformation in the financial services sector. Our core values guide our actions every day, and we invite you to invest in your career and the financial landscape with us.SoFi is looking for a dynamic and skilled Staff Software Engineer to join our Data Platform team within the Data Enablement division. Our mission is to harness data across SoFi, facilitating the development of personalized and engaging experiences for our customers.As a Staff Software Engineer, you will play a pivotal role in realizing our vision and strategy by developing foundational data platform products that are extensively utilized across SoFi for analytics, reporting, and AI/ML applications. Your work will empower teams to conduct self-service analytics, derive insights, and enhance data-driven decision-making across all SoFi products.About the Role:We are seeking a talented, enthusiastic, detail-oriented Software Engineer with a proven history of tackling significant challenges in an agile environment.You will be at the core of SoFi’s data platform, acting as a leader and force multiplier for key initiatives involving Semantic Layer, BI analytics, AI use cases, and operational enhancements, thereby expanding team knowledge.As a subject matter expert, you will leverage data platform capabilities across SoFi for analytical, reporting, and ML/AI self-service applications.This role requires collaboration at the intersection of data and software engineering, working closely with Product, Design, and Engineering teams throughout the entire product lifecycle, from ideation to deployment and continuous improvement.The ideal candidate is proactive, hands-on, and possesses a strong sense of ownership and accountability for delivering results.You will mentor team members in best practices for technologies such as Snowflake, Databricks, Airflow, dbt, and AWS.

Tzafon is at the forefront of machine intelligence, operating as a cutting-edge foundation model lab dedicated to building scalable computing systems. With offices in San Francisco, Zurich, and Tel Aviv, we have secured over $12 million in funding to propel our mission of expanding the boundaries of machine intelligence.Our talented team comprises engineers and scientists with extensive expertise in ML infrastructure and research, founded by distinguished IOI and IMO medalists, PhD holders, and alumni from top tech firms such as Google DeepMind, Character, and NVIDIA. We specialize in training models and constructing infrastructure for swarms of agents to automate tasks across real-world environments.In this role, you'll collaborate between our product and post-training teams to deploy Large Action Models that deliver results. Your responsibilities will include building evaluations, benchmarks, and fine-tuning pipelines, as well as defining optimal model behavior and achieving it at scale.

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.

About UsXOXO is an innovative research lab dedicated to crafting intelligent interfaces that enhance everyday life. Our stealth team, composed of passionate engineers, designers, and researchers, is focused on solving unique challenges that go beyond the workplace.With recent advancements in infrastructure, architecture, and model layers, we are actively seeking skilled builders to create the application layer that will actualize our visionary concepts.About the RoleWe are on the lookout for a proficient iOS engineer to lead the development of XOXO’s consumer app, featuring a pioneering interface for intelligence. This position calls for a robust engineer capable of managing the entire mobile surface area, from architecture and performance to refining a visually appealing design system that ensures intentional user interactions.A specific background is not mandatory; what truly matters is your passion for ownership: you take charge, work swiftly without compromising quality, and aspire to create a mobile product that redefines craftsmanship and performance standards.What You’ll DoDesign and launch the initial versions of our React Native app, transitioning it from concept to production.Convert a visually rich design system into reusable components, motions, and interaction patterns with seamless performance.Develop new product interfaces that seamlessly integrate modern AI/ML capabilities in a mobile-friendly manner.Enhance app performance, focusing on rendering, startup, memory consumption, battery usage, and perceived speed.Establish high standards for mobile engineering quality (including testing, monitoring, and release management) while collaborating with various teams to ensure successful delivery.

Role overview MidiHealth is hiring a Staff Software Engineer - AI Engineer for a hybrid role in the San Francisco Bay Area. The position focuses on building and improving AI-powered solutions that contribute to better healthcare outcomes. What you will do Collaborate with cross-functional teams to design and implement AI-driven systems for healthcare. Develop scalable architectures and write efficient algorithms tailored to healthcare applications. Uphold strong software quality standards throughout the development lifecycle. Location This position is hybrid, with work based in the SF Bay Area.

At Plaid, we envision a future where financial interactions are seamless and intuitive. Our mission is to drive this evolution by crafting powerful tools and experiences that developers leverage to create impactful financial products. With our technology, millions of individuals can manage their finances more effectively. Partnering with renowned companies like Venmo, SoFi, and several Fortune 500 firms, we simplify the process of connecting financial accounts to the applications people depend on. Our network encompasses over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, our headquarters is in San Francisco, complemented by offices in New York, Washington D.C., London, and Amsterdam.The advent of AI and intelligent systems marks a pivotal shift in technology, following the eras of mainframes, personal computing, the internet, and mobile devices. We believe that AI will fundamentally transform the FinTech sector—altering consumer finance management, application development, and operational dynamics across businesses.Plaid's Role in the AI-Driven FinTech LandscapePlaid is uniquely positioned to become the backbone of financial data and insights for AI-powered applications in this rapidly evolving FinTech ecosystem.We advocate for consumers to manage their finances effortlessly through conversational AI interfaces. Our commitment extends to ensuring a reliable consent and authorization manager for enhanced privacy and security. We envision a world where identity verification and fraud prevention in AI solutions are seamlessly integrated for users. The demand for such innovations is growing.Leading AI companies, significant fintechs, and customer support platforms are actively integrating Plaid into their AI-driven products and solutions.AI-Enhanced Customer Experiences at PlaidThe rapid advancement of model intelligence presents a unique opportunity for Plaid to reinvent our operations and customer interactions, optimizing the overall experience.Our initial forays into AI-driven customer support have yielded substantial business benefits, demonstrating our commitment to innovative solutions that elevate customer satisfaction.