{"schemaVersion":"jobsearcher.job.v1","id":"72a00a3f44bac8ea8b1ba7df","url":"https://jobsearcher.com/jobs/72a00a3f44bac8ea8b1ba7df","canonicalUrl":"https://jobsearcher.com/jobs/72a00a3f44bac8ea8b1ba7df","title":"Senior Technical Program Manager, AI Infrastructure and Capacity Operations","description":"We are seeking a Technical Program Manager to lead recurring capacity operations for large-scale AI infrastructure programs and support tooling and automation initiatives! You will build the mechanisms that keep demand, supply, readiness, risks, decisions, and delivery work visible, sequenced, detailed, and moving.\n\nThis is an operational leadership role, not a meeting-coordination role. You will challenge incomplete inputs, establish operating cadences, turn ambiguous constraints into clear decisions, and close cross-functional actions - partnering with, not replacing, technical owners.\n\nWhat you will be doing:\n\nOwn intake, triage, routing and request-quality standards for accelerator-capacity requests across multiple engineering and research teams.\n\nRun quarterly and annual demand forecasts, change control, review preparation, and follow-through; identify late, incomplete, or conflicting inputs early.\n\nPrepare capacity-planning and allocation reviews using demand, available supply, prior commitments, readiness, workload timing, and business priorities.\n\nTrack capacity through its operational lifecycle—from request and forecast through delivery, readiness, assignment, and productive use.\n\nCoordinate infrastructure dependencies such as access, storage, data movement, networking, readiness checks, migration timing, and provider or provisioning tickets.\n\nMaintain dashboards and source-data quality, including freshness checks, ownership for missing inputs, reconciliation, and retirement of repeated manual reporting.\n\nOwn operating cadences, agendas, action logs, dependency tracking, decision records, risk registers, blocking issue paths, and closure difficulty.\n\nPrepare concise leadership reporting that distinguishes facts, risks, decisions needed, options, recommended paths, accountable owners, and due dates.\n\nWhat we need to see:\n\nBS/MS/PhD in Electrical Engineering, Computer Science, Computer Engineering or similar (or equivalent experience).\n\n7+ years of technical program management or closely related experience in AI/ML platforms, distributed systems, cloud infrastructure, compute capacity, or another technically demanding engineering environment.\n\nShown ownership of recurring operational programs with scarce-resource trade-offs, multiple cadences, executive clarity, and overlapping peak periods.\n\nStrong program mechanics: intake compose, forecasting, review preparation, dependency management, decision and risk records, action closure, documentation, and status communication.\n\nEnough technical proficiency to understand infrastructure constraints, ask detailed questions, inspect requirements and metrics, and work credibly with engineers and researchers.\n\nData proficiency sufficient to evaluate source quality, interpret dashboards, reconcile conflicting views, define useful operational measures, and identify missing ownership.\n\nConsistent track record to transform ambiguous cross-functional work into a durable operating system with clear owners, decisions, and critical issue paths with excellent written and verbal communication, including the ability to turn sophisticated updates into concise decisions, risks, options, actions, and leadership mentorship.\n\nAbility to influence without authority across research, platform engineering, infrastructure, data, finance, operations, and leadership collaborators!\n\nWays to stand out from the crowd:\n\nExperience with GPU or other accelerator-capacity planning, utilization programs, cluster operations, workload bring-up, or large-scale AI training and inference environments.\n\nExperience with demand and supply roadmaps, normalization across accelerator types, allocation reviews, quota or priority management, and capacity migrations.\n\nFamiliarity with batch scheduling, cluster-management, cloud, or data-center environments and the operational dependencies that affect workload readiness.\n\nExperience with observability or dashboard platforms, data-quality controls, and automated reporting for infrastructure or service operations.\n\nExperience driving API-enabled workflow automation or decision-support tools with explicit human approval gates, audit evidence, and safe operating controls.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until August 22, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\n\n#deeplearning","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T12:14:52.111Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"}],"industries":[{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Program Manager, AI Infrastructure and Capacity Operations","description":"We are seeking a Technical Program Manager to lead recurring capacity operations for large-scale AI infrastructure programs and support tooling and automation initiatives! You will build the mechanisms that keep demand, supply, readiness, risks, decisions, and delivery work visible, sequenced, detailed, and moving.\n\nThis is an operational leadership role, not a meeting-coordination role. You will challenge incomplete inputs, establish operating cadences, turn ambiguous constraints into clear decisions, and close cross-functional actions - partnering with, not replacing, technical owners.\n\nWhat you will be doing:\n\nOwn intake, triage, routing and request-quality standards for accelerator-capacity requests across multiple engineering and research teams.\n\nRun quarterly and annual demand forecasts, change control, review preparation, and follow-through; identify late, incomplete, or conflicting inputs early.\n\nPrepare capacity-planning and allocation reviews using demand, available supply, prior commitments, readiness, workload timing, and business priorities.\n\nTrack capacity through its operational lifecycle—from request and forecast through delivery, readiness, assignment, and productive use.\n\nCoordinate infrastructure dependencies such as access, storage, data movement, networking, readiness checks, migration timing, and provider or provisioning tickets.\n\nMaintain dashboards and source-data quality, including freshness checks, ownership for missing inputs, reconciliation, and retirement of repeated manual reporting.\n\nOwn operating cadences, agendas, action logs, dependency tracking, decision records, risk registers, blocking issue paths, and closure difficulty.\n\nPrepare concise leadership reporting that distinguishes facts, risks, decisions needed, options, recommended paths, accountable owners, and due dates.\n\nWhat we need to see:\n\nBS/MS/PhD in Electrical Engineering, Computer Science, Computer Engineering or similar (or equivalent experience).\n\n7+ years of technical program management or closely related experience in AI/ML platforms, distributed systems, cloud infrastructure, compute capacity, or another technically demanding engineering environment.\n\nShown ownership of recurring operational programs with scarce-resource trade-offs, multiple cadences, executive clarity, and overlapping peak periods.\n\nStrong program mechanics: intake compose, forecasting, review preparation, dependency management, decision and risk records, action closure, documentation, and status communication.\n\nEnough technical proficiency to understand infrastructure constraints, ask detailed questions, inspect requirements and metrics, and work credibly with engineers and researchers.\n\nData proficiency sufficient to evaluate source quality, interpret dashboards, reconcile conflicting views, define useful operational measures, and identify missing ownership.\n\nConsistent track record to transform ambiguous cross-functional work into a durable operating system with clear owners, decisions, and critical issue paths with excellent written and verbal communication, including the ability to turn sophisticated updates into concise decisions, risks, options, actions, and leadership mentorship.\n\nAbility to influence without authority across research, platform engineering, infrastructure, data, finance, operations, and leadership collaborators!\n\nWays to stand out from the crowd:\n\nExperience with GPU or other accelerator-capacity planning, utilization programs, cluster operations, workload bring-up, or large-scale AI training and inference environments.\n\nExperience with demand and supply roadmaps, normalization across accelerator types, allocation reviews, quota or priority management, and capacity migrations.\n\nFamiliarity with batch scheduling, cluster-management, cloud, or data-center environments and the operational dependencies that affect workload readiness.\n\nExperience with observability or dashboard platforms, data-quality controls, and automated reporting for infrastructure or service operations.\n\nExperience driving API-enabled workflow automation or decision-support tools with explicit human approval gates, audit evidence, and safe operating controls.\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until August 22, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.\n\n#deeplearning","datePosted":"2026-08-22T12:14:52.111Z","dateModified":"2026-08-22T12:14:52.111Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"72a00a3f44bac8ea8b1ba7df"},"url":"https://jobsearcher.com/jobs/72a00a3f44bac8ea8b1ba7df"}}