Join the Fleet Infrastructure team at OpenAI, where you will play a pivotal role in managing and enhancing one of the world's largest and most efficient GPU fleets, dedicated to powering OpenAI's advanced model training and deployment initiatives. Your contributions will range from:Developing user-friendly scheduling and quota systems to maximize GPU utilization.Creating automated solutions for seamless Kubernetes cluster provisioning and upgrades, ensuring a robust and low-maintenance platform.Building service frameworks and deployment systems that support diverse research workflows.Enhancing model startup times through high-performance snapshot delivery, leveraging advanced blob storage and hardware caching techniques.And much more!About the RoleAs a Software Engineer in Fleet Infrastructure, you will design, develop, deploy, and maintain essential infrastructure systems that facilitate model training and deployment on a massive GPU fleet. This role presents an exciting opportunity to influence a critical system that supports OpenAI's mission to responsibly advance AI capabilities, all while working in a fast-paced environment with tight deadlines.Positioned in San Francisco, CA, we embrace a hybrid work model, encouraging three days in the office each week, along with offering relocation assistance for new hires.In this role, you will:Design, implement, and manage components of our compute fleet, focusing on job scheduling, cluster management, snapshot delivery, and CI/CD systems.Collaborate closely with research and product teams to understand and meet workload requirements effectively.Work alongside hardware, infrastructure, and business teams to deliver a service characterized by high utilization and reliability.

Join the Fleet team at OpenAI, where we empower groundbreaking research and innovative product development by maintaining a robust computing environment. Our team manages extensive systems that encompass data centers, GPUs, and networking, ensuring peak performance, high availability, and efficiency. Our mission is to facilitate the seamless operation of OpenAI's models at scale, supporting both internal research initiatives and external products such as ChatGPT, while prioritizing safety, reliability, and responsible AI deployment over unchecked expansion.About the PositionAs a Software Engineer specializing in Operating Systems & Orchestration, you will play a crucial role in developing systems that manage our hardware, configurations, vendors, and the teams utilizing our infrastructure. Your work will involve designing and implementing solutions that fuse individual nodes and servers into cohesive clusters, directly enhancing the AI research experience. This role is located in San Francisco, CA, and follows a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Architect and develop systems to manage extensive cloud and bare-metal infrastructures at scale.Create tools that correlate low-level hardware metrics with high-level job scheduling and cluster management algorithms.Utilize Large Language Models (LLMs) to streamline vendor operations and enhance infrastructure workflows.Automate infrastructure processes to minimize repetitive tasks and bolster system reliability.Work collaboratively with hardware, infrastructure, and research teams to ensure smooth integration across all components.Continuously refine tools, automation, processes, and documentation to boost operational effectiveness.Ideal Candidate Profile:Demonstrates strong software engineering capabilities with experience in large-scale infrastructure environments.Possesses extensive knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud platforms).Has deep expertise in server-level systems (e.g., systems, containerization, Chef, Linux kernels, firmware management, host routing).Is passionate about enhancing the performance and reliability of large compute fleets.Thrives in fast-paced environments and is eager to tackle complex challenges.

About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.

At Exa, we are on a mission to create a cutting-edge search engine from the ground up, designed to cater to the diverse needs of AI applications. Our team is building a robust infrastructure that enables us to crawl the internet, train advanced embedding models for indexing, and develop high-performance vector databases using Rust. Additionally, we manage a significant $5M H200 GPU cluster that powers tens of thousands of machines.The Infrastructure Team at Exa is responsible for developing the essential tools and infrastructure that support our entire system. We are looking for talented infrastructure engineers to help us scale our capabilities rapidly. Your work could involve orchestrating GPU clusters with Kubernetes, implementing map-reduce batch jobs on Ray, or creating top-tier observability tools that set industry standards.

Who We AreServal is an innovative AI-driven automation platform redefining operational efficiency for enterprises. Our intelligent agents seamlessly comprehend and execute real-world workflows, replacing outdated manual processes with adaptive, self-learning software. Since our inception in early 2024, we have garnered the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, streamlining high-volume operational tasks across their organizations.At the heart of Serval is a cutting-edge agentic AI platform that transforms natural language into actionable workflows. Our agents not only respond to queries but also reason, act across various systems, and continuously enhance their performance. What started as a solution for operational tasks has rapidly expanded into a versatile AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a system of agents that integrates across business functions, maintaining the momentum of modern companies.We are proud to be backed by renowned investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil, and founded by seasoned product and engineering leaders from Verkada.Role OverviewAs a Senior Software Engineer in Infrastructure at Serval, you will be pivotal in developing and scaling the core systems that empower our AI agents and workflow automation platform. A crucial aspect of this role involves enabling and supporting self-hosted deployments for enterprise clients needing on-premises or private cloud environments. We are looking for engineers with profound expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing support, who aspire to influence the technical architecture of a rapidly evolving platform.What You'll DoDesign, implement, and operate large-scale distributed systems that power Serval's AI agents, workflow orchestration, and data pipelines.Create and maintain Terraform modules to provision and manage cloud infrastructure across AWS, GCP, or Azure environments.Develop and sustain deployment packages, installation scripts, and infrastructure templates, enabling customers to self-host Serval in their own environments.Provide technical support and guidance to enterprise customers during installation and deployment phases.

About UsAt Imprint, we are revolutionizing the world of co-branded credit cards and innovative financial solutions, focusing on smarter, more rewarding, and brand-first experiences. We collaborate with renowned brands such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to establish modern credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our robust platform integrates advanced payment technologies, intelligent underwriting, and a seamless user experience, enabling brands to offer impactful financial products without the complexities of becoming a bank.Co-branded credit cards represent over $300 billion in U.S. annual spending, yet many are still managed by outdated banking systems. Imprint stands as the modern alternative—flexible, technology-driven, and tailored for today’s consumers. Supported by notable investors like Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team dedicated to reshaping payment methods and driving brand growth. If you thrive in fast-paced environments, enjoy tackling complex challenges, and aspire to make a significant impact, we would be delighted to meet you.Discover more about us on Imprint's Technology Blog.The TeamThe Tech Platform Engineering Team at Imprint is pioneering the democratization of access to advanced technologies, empowering teams across our organization to innovate and excel. Our commitment to redefining the Fintech landscape drives us to build secure, highly available infrastructures while equipping our engineers with comprehensive development tools, allowing them to rapidly create world-class products.Your RoleDesign, build, and manage cloud and web infrastructure with a strong emphasis on security, reliability, and scalability.Implement and maintain infrastructure components across computing, networking, and data platforms.Adhere to security best practices in cloud infrastructure, ensuring proper access control, network isolation, and secure communication between services.Monitor system health and engage in incident response, root cause analysis, and reliability enhancements.Collaborate with platform, security, and product engineers to deliver safe and efficient infrastructure solutions.

About the RoleJoin our pioneering team at vooma as a Backend & Infrastructure Software Engineer, where you will play a critical role in shaping the technical infrastructure of a transformative company.If you are passionate about creating not only resilient systems but also the foundational architecture of a groundbreaking enterprise from the outset, this position is ideal for you.We are looking for someone who excels at crafting infrastructure that is elegant, dependable, and secure, even under high-demand scenarios. You thrive on the challenge of scaling systems that enable intelligent agents and take pride in establishing reliable foundations that others can rely on.Your Key Responsibilities Include:Design and maintain secure, scalable infrastructure tailored for AI-powered agents in production environments.Deploy and optimize AI-driven services to meet high availability and performance standards.Manage infrastructure as code, alongside cloud environments and CI/CD pipelines.Implement monitoring, observability, and alerting systems to ensure the reliability of our infrastructure.Contribute to infrastructure security and adhere to best practices.You Should Have:Experience in deploying and productionizing machine learning or AI-centric workloads.Proficiency in developing secure, scalable infrastructures on platforms such as AWS, Azure, or GCP.In-depth knowledge of backend systems, networking, and container orchestration technologies (e.g., Kubernetes).Understanding of infrastructure security principles and compliance standards (e.g., SOC2).A proactive and hands-on mindset, with a strong drive to solve challenges from start to finish.

ABOUT BASETENJoin Baseten, where we drive mission-critical AI inference for leading companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our unique blend of applied AI research, robust infrastructure, and intuitive developer tools empowers organizations at the forefront of AI innovation to deploy state-of-the-art models into production. Recently, we secured a $300M Series E funding round, backed by esteemed investors such as BOND, IVP, Spark Capital, Greylock, and Conviction. Be a part of our rapid growth and help shape the platform that engineers trust for launching AI products.THE ROLEAs an Infrastructure Software Engineer at Baseten, you will play a pivotal role in developing and maintaining our ML inference platform that powers AI applications in production. Your contributions will enhance the core infrastructure, enabling developers to deploy, scale, and monitor machine learning models with exceptional performance.EXAMPLE INITIATIVESYou will engage in innovative projects within our Infrastructure team, including:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESDesign and develop infrastructure components for our ML inference platform, primarily using Python and Go.Implement and maintain Kubernetes deployments for optimal model serving.Contribute to the orchestration layer for model deployments.Build and enhance monitoring systems to track model performance metrics effectively.Develop efficient resource management solutions to optimize performance.

At Sift, we are revolutionizing the way cutting-edge machines are constructed, tested, and managed. Our innovative platform provides engineers with real-time visibility into high-frequency telemetry, effectively removing bottlenecks and facilitating quicker, more dependable development.Sift originated from our experience at SpaceX, contributing to projects like Dragon, Falcon, Starlink, and Starship, where the demands of scaling telemetry, debugging flight systems, and ensuring mission reliability necessitated a new kind of infrastructure. Founded by a talented team from SpaceX, Google, and Palantir, Sift is tailored for mission-critical systems where precision and scalability are imperative.As one of the pioneering engineers at Sift, your role will extend beyond just coding—you will play a crucial part in defining the architecture, shaping the product, and influencing the culture of a company dedicated to addressing real engineering challenges. If you're eager to take on intricate technical obstacles and build foundational systems that support complex machines from the ground up, we would love to connect with you.

About Our TeamAt OpenAI, the Fleet team is integral to maintaining the robust computing environment that fuels our groundbreaking research and innovative product development. We manage extensive systems encompassing data centers, GPUs, networking, and more, ensuring optimal performance, availability, and efficiency. Our efforts empower OpenAI’s models to function seamlessly at scale, supporting both internal R&D and external offerings like ChatGPT. We emphasize safety, reliability, and responsible AI deployment over unrestrained growth.About the RoleAs a Software Engineer on the Fleet Hardware team, you will play a crucial role in ensuring the reliability and uptime of OpenAI’s compute fleet. Minimizing hardware failures is essential for research training progress and service stability since even minor disruptions can lead to significant setbacks. With the increasing complexity of supercomputers, the pressure to maintain operational integrity has never been higher.This is a unique opportunity to be at the forefront of technology, pioneering solutions for troubleshooting advanced systems on a large scale. You will work with cutting-edge technologies and innovate solutions to ensure the health and efficiency of our supercomputing infrastructure.Our team empowers skilled engineers with a significant degree of autonomy and ownership, enabling them to drive impactful change. This role requires a keen focus on comprehensive system investigations and the development of automated solutions. We seek individuals who dive deep into problems, conduct thorough investigations, and create automation for large-scale detection and remediation.In this Role, You Will:Design and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with teams across clusters, networking, and infrastructure.Partner with external operators to uphold high-quality standards.Identify and resolve performance bottlenecks and inefficiencies.Continuously enhance automation to minimize manual tasks.

Join Ivo's Engineering Team!At Ivo, we are pioneers in the tech industry. Our engineers are innovators who have created groundbreaking solutions such as:• An AI agent that seamlessly integrates with MS Word to enhance document editing [2023]• Revolutionizing embedding models with agentic RAG technology [2023]• Advanced LLM-based legal fact extraction capabilities [2024]• A legal assistant designed to search extensive contract databases without compromising accuracy [2024]• Clustering legal documents from the same lineage [2025]• Automatic deviation analysis to uncover hidden risks in vast contract databases [2025]• Merging contracts with their amendments to create a “composite” contract timeline that has moved our clients to tears [2025]Role OverviewAs an Infrastructure Engineer at Ivo, you will lay the groundwork for our platform's future. Your responsibilities will include:• Designing and owning the future of our infrastructure, allowing you the freedom to innovate.• Managing multiple customer deployments, ensuring each receives tailored containers, databases, and VPCs.• Instrumenting our systems to identify performance bottlenecks and errors.• Aggregating metrics and logs into visually appealing dashboards and setting up pager alerts.• Leading infrastructure-related incidents and being on-call as necessary.• Enhancing our CI/CD system to reduce deployment time from ~12 minutes.If you're passionate about LLMs, you'll thrive in our engineering team, where you’ll have the opportunity to:• Develop real-time LLM evaluations to monitor the accuracy of our responses.• Collaborate with talented engineers to push the boundaries of DevOps.

Astranis is seeking a talented and motivated Software Engineer to join our Infrastructure team. In this role, you will be at the forefront of developing and maintaining critical software systems that support our innovative satellite technology. You'll collaborate with cross-functional teams to design, implement, and optimize our infrastructure solutions, ensuring high reliability and performance.

About Engineering at Ivo Inc. Ivo Inc. builds advanced legal technology from its San Francisco base. The engineering team has delivered several notable products, including: An AI agent for Microsoft Word that edits documents automatically (2023) Migration from traditional embedding models to agentic RAG methods (2023) Large-scale legal fact extraction powered by LLMs (2024) A legal assistant designed to search large contract databases with precision (2024) Clustering related legal documents to improve organization (2025) Automated deviation analysis to surface hidden risks in contract data (2025) Combining contracts and amendments to create comprehensive contract time series (2025) Role Overview: Infrastructure Software Engineer The Infrastructure Software Engineer will help shape the core systems that power Ivo's platform. This role offers the chance to architect, optimize, and maintain the infrastructure supporting sensitive client data and high-performance legal applications. What You Will Do Own and influence the evolution of Ivo's infrastructure, with significant freedom to design systems due to a lean operational footprint. Orchestrate customer deployments, managing containers, databases, and VPCs for each client to ensure data isolation and security. Implement instrumentation to surface performance bottlenecks and errors across the stack. Aggregate metrics, logs, and health checks into dashboards and alerting systems for clear visibility. Participate in on-call rotations to lead and resolve infrastructure incidents. Optimize CI/CD pipelines to reduce deployment times (current average: 12 minutes). Opportunities to Advance DevOps and LLM Integration Develop real-time LLM evaluations to track output accuracy. Create autonomous agents that identify and troubleshoot production issues proactively. Bring forward new ideas to improve infrastructure and operations. Mission Ivo's mission is to empower clients with advanced legal technology that boosts efficiency and accuracy.

Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.

Netic is revolutionizing the essential services sector with our AI-driven revenue engine, empowering the backbone of the American economy.With $43M in funding from leading investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who spearheaded our Series B, we have enabled our clients to secure hundreds of thousands of jobs across various service industries in North America. Today, numerous companies thrive entirely on an AI-first model powered by Netic.As a member of our team consisting of innovative builders from top organizations such as Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard, you will be at the forefront of integrating frontier AI into the physical economy, where challenges are complex, data is intricate, and impacts are immediate and substantial.In the role of a founding Product Infrastructure Engineer, you will design and scale the crucial infrastructure that supports our autonomous AI agents, addressing real-world challenges with significant, tangible outcomes. You will work alongside a passionate team of builders to develop infrastructure and processes from scratch, utilizing state-of-the-art cloud and orchestration technologies. If you excel in dynamic, ambiguous settings and are eager to set new benchmarks in the agentic domain, this is your chance to make a lasting impact.

About Chai DiscoveryChai Discovery specializes in developing cutting-edge AI models that revolutionize molecular design and redefine drug discovery processes. Our passionate team is dedicated to transforming the search for new cures and improving lives.Our founding team comprises top researchers and Silicon Valley experts, having achieved significant milestones in AI for biology. With a history of co-inventing protein language modeling and creating advanced folding algorithms, our technology has been embraced by leading pharmaceutical companies. We are proud to be supported by prestigious investors including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and others.About the RoleWe are seeking a dedicated Infrastructure Software Engineer focused on crafting robust, streamlined infrastructure solutions. You will develop the foundational compute and infrastructure systems that support our product offerings, model inference processes, and evaluation frameworks. Collaboration with product engineers, researchers, and our commercial team will be key to your success.You will have experience creating services that developers appreciate, successfully deploying and scaling AI/ML systems in production, and effectively anticipating potential challenges that may hinder the adoption of our platform by leading biopharmaceutical organizations.As Chai's models advance from protein structure prediction into practical therapeutic engineering, this role presents a unique opportunity to bring state-of-the-art AI drug design models to market, working alongside a team that is both detail-oriented and optimistic about the future.About YouYou are motivated by a mission to establish the benchmark for impactful AI technology. We are looking for candidates who possess:Software Experience:A Bachelor’s degree or equivalent experience in Computer Science or a related field.5+ years of experience in building production systems utilizing contemporary tools, collaborating with platform, security, and product teams.A keen ability to foresee infrastructure challenges.Comprehensive ownership of 24/7 infrastructure observability, alerting, and incident response.Experience in both 0-to-1 buildouts and 1-to-n scale-ups, along with a rich repository of best practices and strategies.Communication & Collaboration:A passion for code pair-reviewing, documentation, and knowledge sharing with peers.

Join xdof, where innovation meets opportunity! As we stand at the forefront of robotics and AI technology, we are dedicated to addressing the critical need for high-quality training data. Our mission is to develop sophisticated data collection systems, operational capabilities, and expansive data warehouses that empower our partners to lead the field.As an Infrastructure Engineer, you will be instrumental in creating a robust platform that supports our growing data collection initiatives.Key projects you may work on include:Developing an orchestration system for processing data upon ingestion.Designing an internal platform that allows researchers to experiment with our datasets.Managing a multi-tenant data lake to enhance data accessibility and collaboration.

Why Join Doppel?At Doppel, we are dedicated to tackling one of the most significant threats posed by AI: mass-manufactured social engineering. With scams, deepfakes, and social engineering attacks proliferating across digital platforms such as websites, social media, advertisements, encrypted messaging apps, and mobile devices, our mission is both simple and ambitious: to enhance internet safety by outsmarting the fastest-evolving digital threats.Supported by renowned investors like a16z and Bessemer, and trusted by industry leaders such as OpenAI, United Airlines, and Coinbase, Doppel is on a rapid growth trajectory. If you are passionate about addressing real-world challenges through innovative technology, we want to hear from you!What We're BuildingWe are developing an AI-driven platform to combat social engineering on a large scale. This involves creating scalable systems that monitor billions of domains, social media accounts, applications, and dark web forums, utilizing AI agents to detect and neutralize digital threats effectively.What We're Looking ForWe are in search of a skilled backend engineer to enhance the infrastructure needed for our rapidly expanding engineering team. Recent projects include:Developed a self-hosted Elasticsearch infrastructure on Kubernetes, facilitating real-time search capabilities across millions of alerts and associated metadata.Established core infrastructure using Terraform (Infrastructure as Code), enabling reproducible, version-controlled environments and expediting onboarding for new engineers.Implemented a dedicated staging environment, which enhances safety during releases, feature validation, and automated integration testing prior to production deployments.Introduced observability and tracing mechanisms (metrics, logging, distributed tracing), significantly improving our capacity to debug performance issues and sustain reliability at scale.What We Offer A mission-driven culture emphasizing low ego, high accountability, deep customer focus, and exceptional talent density. Complimentary lunch and dinner in the office. Flexible Paid Time Off (PTO). Quarterly team offsites.

About the Role cognition is looking for an Infrastructure Software Engineer in the San Francisco Bay Area. This role focuses on designing, building, and maintaining infrastructure that supports high-performance systems. Collaboration with teams across the company is central to the work. What You Will Do Develop and maintain scalable infrastructure solutions Work closely with colleagues from different disciplines to support application needs Help ensure systems remain reliable and efficient as they grow