Technical Compute Qualification Manager Jobs

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Deals Lead, you will help shape Anthropic's long-term approach to AI infrastructure, compute capacity, and strategic ecosystem partnerships, and you will originate, structure, negotiate, and close the deals that put that strategy into effect. Within Cloud Compute, you will build and manage Anthropic's relationships across the emerging compute ecosystem to identify and execute opportunities that expand access to the infrastructure required to train and serve frontier AI systems. The compute market is fast-moving and structurally complex. Providers vary widely in scale, financial structure, and commercial model, and increasingly involve a variety of strategic partners. In this role, you will build and develop expertise across the relevant ecosystem players, commercial constructs and market standards, and the interplay between infrastructure and financing for scaling compute. You will work closely with Anthropic's technical infrastructure, finance, and legal teams to source and evaluate opportunities, develop deal economics, structure financing, and ensure transactions align with Anthropic's compute strategy. We are looking for someone with prior relevant transaction experience who is comfortable building and executing on a broad, active pipeline independently from day one. Key responsibilities Build and manage a pipeline of capacity across the integrated compute ecosystem Maintain and own executive level relationships with commercial, finance, and legal counterparts at providers across all stages of maturity Lead the full deal lifecycle for capacity agreements, from initial engagement and relationship devel

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. This team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role We are seeking experienced Data Center Mechanical and Electrical/Power Design Engineers with expertise in designing, operating, and maintaining large-scale data center campuses. The ideal candidate for this role will have extensive background and experience in design and managing critical equipment and facilities, design and operation of MEP (Mechanical, Electrical, Plumbing) systems, and overseeing operational activities from initial phases of Data Center build through delivery and ongoing maintenance. The ideal candidate will have a strong technical background, operational leadership experience, and a proven ability to collaborate with external vendors on critical infrastructure. This role offers the opportunity to lead transformative data center projects with high visibility and impact. If you are passionate about delivering cutting-edge infrastructure solutions, we encourage you to apply. Key Responsibilities Oversee building and MEP design, operation, and maintenance, including reviewing building and MEP drawings and proposals across all project phases. Lead operational activities for large-scale data center campuses, from early design phases through delivery and daily operation. Operate and maintain critical data center facilities and equipment, ensuring reliability and performance. Collaborate with external vendors to select, procure, and manage critical equipment, such as generators, UPS, chillers, and CDUs. Provide technical expertise on all aspects of data center building, equipment, and

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organiza

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest AISI is open to expressions of interest from talented AI research scientists and engineers who are interested in building the technical foundations that will be needed for agentic controls and forensics for future systems (> 1 year from now); have relevant hands-on AI research experience; and have ideas for approaches which will scale to understanding misbehaviour from future generations of highly capable AI agents, but feel that their ideas and skills do not currently fit under any of the workstreams in AISI's current research agenda. Our talent team will reach out should a role arise at AISI or a related government team that may be a good match. What We Offer Impact you couldn't have anywhere else Incredibly talented, mission-driven and supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister’s AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre-release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research and adjacent scie

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Senior Software Engineer , you will focus heavily on building, operating, and expanding our container provisioning platforms. You will be responsible for designing resilient container infrastructure and contributing to our technical migration to Amazon EKS to improve platform reliability. In this position, you will collaborate with engineering teams across Robinhood to deliver reliable platform integrations for core capabilities like networking and security. Your work will directly help our infrastructure scale efficiently while maintaining a high standard of safety and system uptime! This role is based in our Be

P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the key engineers building out the Lakebase product. As the Technical Lead on the Lakebase Manager (LBM) team, you will drive, build, and operate the central control plane that owns the core logic for Lakebase: database creation and deletion, wake-up and suspend, maintaining computes on hot standby, HA failover, and more. LBM interacts with every Lakebase component (storage, compute, proxy, and console) and manages the full database lifecycle at scale, with a focus on reliability. This is a hands-on individual-contributor role: you lead the team technically and partner with the team's engineering manager, who owns people management and delivery planning. The stack is Go, Rust, PostgreSQL, and Kubernetes. The impact you will have: Set the technical direction for LBM and own the quality and reliability of what the team ships, driving execution on the hardest, highest-risk parts. Drive architecture and design, and write code on the hardest parts of your team's projects. Set and uphold high technical standards through a

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Kubernetes Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Software Developer, you will focus on building, maintaining, and scaling our container provisioning platforms. Working alongside senior engineers, you will write code to improve our infrastructure capabilities and actively participate in our technical transition to Amazon EKS. In this role, you will collaborate with teams across the organization to ensure robust platform integrations for everyday application needs like security and networking. Your efforts will directly improve system visibility, automation, and reliability across the platform. This role is based in our Toronto office(s), with in-perso

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Kubernetes Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Senior Software Develope r, you will focus heavily on building, operating, and expanding our container provisioning platforms. You will be responsible for designing resilient container infrastructure and contributing to our technical migration to Amazon EKS to improve platform reliability. In this position, you will collaborate with engineering teams across Robinhood to deliver reliable platform integrations for core capabilities like networking and security. Your work will directly help our infrastructure scale efficiently while maintaining a high standard of safety and system uptime. This role is bas

About the Team OpenAI’s Strategic Finance organization provides the financial insight and guidance that support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while preserving sustainable unit economics. The Applications Technology Strategic Finance team works closely with Product and Engineering to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, and partner closely with the Infrastructure Engineering team to forecast infrastructure and compute demand and to manage margin targets and headcount planning with rigor. About the Role We are hiring a Director of Product Finance, Infrastructure and Compute Demand to help drive strategic decision-making across our product organization. This person will serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization and play a critical role in connecting product usage, compute demand, infrastructure costs, and margin outcomes across the portfolio. You will help build the frameworks that translate technical decisions into economic outcomes, shape planning across product and infrastructure teams, and ensure OpenAI is scaling its products with rigor and efficiency. You will also manage a small team, providing mentorship and leadership while remaining hands-on with analysis and execution. This role is ideally based in our San Francisco HQ, but we are open to NYC and Seattle. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as the primary finance partner to the AGI Deployment (Applications) Infrastructure Engineering organization. Own the consolidated compute and infrastructure demand forecast for the products we bring to market, partnering closely with capacity planning and

About the Team: OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality. About the Role: We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments. Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations. Candidates must be able to sit onsite in Abilene, Texas 5 days per week Key Responsibilities Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria. Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time. Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations. Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams. Develop repeatable engineering standards, as-built do

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic exec

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic exec

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Keep Graphcore’s Bristol electronics laboratories ready for the teams building the future of AI compute. As Electronics Laboratory Lead, you will own the safe, reliable operation of our Bristol labs. You will make sure facilities, equipment and infrastructure support critical work across engineering and operations. Your impact will be felt across hardware bring up, validation, characterisation, manufacturing technology and product test. You will turn complex lab requirements into controlled, dependable environments where teams can move faster. You will manage test equipment, lab infrastructure, ESD controls, goods in and out, maintenance planning and technical readiness. You will also build and guide a technician team that supports multidisciplinary lab users. This is a hands-on leadership role with real ownership. You will shape how our labs run, scale and support Graphcore’s next stage. The team and culture You will sit in our DC Engineering Team, working closely with Facilities, Supply Chain, Quality, Product Test and Diagnosis, Infrastructure Solutions and Hardware Engineering. Work happens through clear priorities, practical decisions and direct collaboration with the teams using the labs. You will have the ownership to set standards, improve processes and solve problems before they slow delivery. Decisions are made close to the work, with safety, technical readiness and pace all held together. Graphcore teams think big, act fast and speak up. In this role, you will bring structure to complex lab activity while helping engineers do their best work What we’re looking for · Strong technical understanding of electronic test equipment, lab infrastructure, setup, calibration and troubleshooting · Practical knowledge of ESD prevention, control systems, audits and training · Deep understanding of health and safety requirements in electronics laboratory environments · Ability to work with engineering teams to plan, configure an