{"schemaVersion":"jobsearcher.job.v1","id":"819db70840d06229981a4c12","url":"https://jobsearcher.com/jobs/819db70840d06229981a4c12","canonicalUrl":"https://jobsearcher.com/jobs/819db70840d06229981a4c12","title":"Senior Technical Program Manager, Data Platform","description":"Hardware Infrastructure is seeking a Senior Technical Program Manager to lead the strategy and evolution of our internal data platform ecosystem used across silicon development. This role will drive the platform’s expansion to deliver critical systems and services that support analytics, machine learning, and business intelligence. You’ll help define strategy, align stakeholders, and ensure execution at scale. This role sits at the intersection of hardware engineering, data, and infrastructure, driving programs that power scalable, reliable, and efficient data platforms.\nHardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect.\nWhat You'll Be Doing:\nOwn and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake, data platforms, pipelines, etc)\nPartner with Hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements\nTranslate ambiguous business needs into structured plans with clear milestones, risks, and dependencies\nManage cross-team coordination, program governance, status tracking, reporting, and stakeholder communication\nIdentify and mitigate risks, resolve blockers, and drive timely decisions across all initiatives\nImprove operational efficiency by introducing scalable processes, tools, and best practices\nEnsure reliability, scalability, performance, data quality, observability, and governance standards are embedded in all initiatives\nDrive post-launch evaluations, retrospectives, and continuous improvement\nWhat We Need To See:\nB.S. (or equivalent experience) in Computer Science or a related technical field\n12+ years of technical program management experience, including ownership in data infrastructure, distributed systems, or on-prem platforms at large scale (multi-TB/day)\nFamiliarity with data ecosystems (ex: ETL/ELT pipelines, data lakes/warehouses, etc) and technologies like Spark, Kafka, Airflow, Snowflake, or similar ecosystems\nStrong understanding of system design concepts such as scalability, reliability, and performance\nDemonstrated experience partnering with highly technical engineering teams and driving products from concept through delivery\nAnalytical approach, including defining success measures, tracking adoption, and finding opportunities to improve workflow efficiency\nExcellent cross-functional leadership and communication skills, with the ability to influence without authority across multiple teams\nExperience working in environments with geo-distributed teams and complex collaboration requirements\nTrack record of driving adoption of internal platforms and influencing engineering culture\nWays To Stand Out from the Crowd:\nExperience supporting hardware or silicon development environments, including pre-silicon development workflows\nBackground with working on modern data platforms (e.g., real-time streaming, large-scale batch processing) in on-prem or hybrid environments with infrastructure-as-code practices\nExperience in data governance, privacy, or compliance initiatives\nExperience supporting or scaling AI/ML platforms and infrastructure, with an understanding of the tooling, workflows, and operational requirements that ML teams need\nFamiliarity with FinOps principles and cloud cost optimization strategies, including resource tagging, rightsizing, and cost allocation frameworks to drive infrastructure efficiency at scale\nNVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!\n\n#LI-Hybrid\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 3, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering a diverse 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.","company":"NVIDIA","rawCompany":"nvidia","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-18T17:07:14.182Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Technical Program Manager, Data Platform","description":"Hardware Infrastructure is seeking a Senior Technical Program Manager to lead the strategy and evolution of our internal data platform ecosystem used across silicon development. This role will drive the platform’s expansion to deliver critical systems and services that support analytics, machine learning, and business intelligence. You’ll help define strategy, align stakeholders, and ensure execution at scale. This role sits at the intersection of hardware engineering, data, and infrastructure, driving programs that power scalable, reliable, and efficient data platforms.\nHardware Infrastructure serves as the foundational platform for silicon development. We build and operate the systems, environments, and tools that enable hardware engineers to design, simulate, validate, and tape out chips. In addition, we support software teams specifically through our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon, while ensuring seamless collaboration where hardware and software development intersect.\nWhat You'll Be Doing:\nOwn and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake, data platforms, pipelines, etc)\nPartner with Hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements\nTranslate ambiguous business needs into structured plans with clear milestones, risks, and dependencies\nManage cross-team coordination, program governance, status tracking, reporting, and stakeholder communication\nIdentify and mitigate risks, resolve blockers, and drive timely decisions across all initiatives\nImprove operational efficiency by introducing scalable processes, tools, and best practices\nEnsure reliability, scalability, performance, data quality, observability, and governance standards are embedded in all initiatives\nDrive post-launch evaluations, retrospectives, and continuous improvement\nWhat We Need To See:\nB.S. (or equivalent experience) in Computer Science or a related technical field\n12+ years of technical program management experience, including ownership in data infrastructure, distributed systems, or on-prem platforms at large scale (multi-TB/day)\nFamiliarity with data ecosystems (ex: ETL/ELT pipelines, data lakes/warehouses, etc) and technologies like Spark, Kafka, Airflow, Snowflake, or similar ecosystems\nStrong understanding of system design concepts such as scalability, reliability, and performance\nDemonstrated experience partnering with highly technical engineering teams and driving products from concept through delivery\nAnalytical approach, including defining success measures, tracking adoption, and finding opportunities to improve workflow efficiency\nExcellent cross-functional leadership and communication skills, with the ability to influence without authority across multiple teams\nExperience working in environments with geo-distributed teams and complex collaboration requirements\nTrack record of driving adoption of internal platforms and influencing engineering culture\nWays To Stand Out from the Crowd:\nExperience supporting hardware or silicon development environments, including pre-silicon development workflows\nBackground with working on modern data platforms (e.g., real-time streaming, large-scale batch processing) in on-prem or hybrid environments with infrastructure-as-code practices\nExperience in data governance, privacy, or compliance initiatives\nExperience supporting or scaling AI/ML platforms and infrastructure, with an understanding of the tooling, workflows, and operational requirements that ML teams need\nFamiliarity with FinOps principles and cloud cost optimization strategies, including resource tagging, rightsizing, and cost allocation frameworks to drive infrastructure efficiency at scale\nNVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!\n\n#LI-Hybrid\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until May 3, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering a diverse 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.","datePosted":"2026-07-18T17:07:14.182Z","dateModified":"2026-07-18T17:07:14.182Z","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":"819db70840d06229981a4c12"},"url":"https://jobsearcher.com/jobs/819db70840d06229981a4c12"}}