NVIDIA

Hardware Infrastructure

SeniorTechnicalProgramManager,DataPlatform

$200–322k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Technical Program Manager, Data Platform at NVIDIA. Skills: Technical Program Management, Data Platform Strategy and Evolution, Data Infrastructure Program Delivery, Cross-functional Leadership, Stakeholder Management. Own and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake, data platforms, pipelines, etc). Partner with Hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements”

What You'll Achieve.

Deliver critical systems and services that support analytics, machine learning, and business intelligence; Accelerate engineering velocity while maintaining the performance, efficiency, and reliability required to deliver world-class silicon; Ensure reliability, scalability, performance, data quality, observability, and governance standards are embedded in all initiatives

Industry & Context.

Hardware Infrastructure
Problems you'll solve

Analytical approach; Identify and mitigate risks; Resolve blockers; Drive timely decisions

What They're Looking For.

Must Have

12+ years of technical program management experience, including ownership in data infrastructure, distributed systems, or on-prem platforms at large scale (multi-TB/day), Familiarity with data ecosystems (ex: ETL/ELT pipelines, data lakes/warehouses, etc) and technologies like Spark, Kafka, Airflow, Snowflake, or similar ecosystems, understanding of system design concepts such as scalability, reliability, and performance, Demonstrated experience partnering with highly technical engineering teams and driving products from concept through delivery, Analytical approach, including defining success measures, tracking adoption, and finding opportunities to improve workflow efficiency, Excellent cross-functional leadership and communication skills, with the ability to influence without authority across multiple teams, Experience working in environments with geo-distributed teams and complex collaboration requirements, Track record of driving adoption of internal platforms and influencing engineering culture

Nice to Have

Experience supporting hardware or silicon development environments, including pre-silicon development workflows, Background 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, Experience in data governance, privacy, or compliance initiatives, Experience supporting or scaling AI/ML platforms and infrastructure, with an understanding of the tooling, workflows, and operational requirements that ML teams need, Familiarity with FinOps principles and cloud cost optimization strategies, including resource tagging, rightsizing, and cost allocation frameworks to drive infrastructure efficiency at scale

What You'll Do.

Own and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake

Partner with Hardware engineering and data engineering teams to define roadmaps

and technical requirements

Translate ambiguous business needs into structured plans with clear milestones

Manage cross-team coordination

and stakeholder communication

Identify and mitigate risks

and drive timely decisions across all initiatives

Improve operational efficiency by introducing scalable processes

and governance standards are embedded in all initiatives

Drive post-launch evaluations

and continuous improvement

How You'll Work.

Team & Collaboration

Partner with Hardware engineering and data engineering teams; Manage cross-team coordination; Stakeholder communication; Experience working in environments with geo-distributed teams and complex collaboration requirements; Seamless collaboration where hardware and software development intersect

Communication Scope

Excellent cross-functional leadership and communication skills; Ability to influence without authority across multiple teams; Stakeholder communication

Process & Methodology

Technical Program Management, End-to-end delivery of large-scale programs, Define roadmaps, scope, and technical requirements, Translate ambiguous business needs into structured plans with clear milestones, risks, and dependencies, Program governance, Status tracking, Reporting, Risk identification and mitigation, Blocker resolution, Drive timely decisions

Full Job 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. Hardware 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. **What You 'll Be Doing:** * Own and drive end-to-end delivery of large-scale data infrastructure programs (ex: data lake, data platforms, pipelines, etc) * Partner with Hardware engineering and data engineering teams to define roadmaps, scope, and technical requirements * Translate ambiguous business needs into structured plans with clear milestones, risks, and dependencies * Manage cross-team coordination, program governance, status tracking, reporting, and stakeholder communication * Identify and mitigate risks, resolve blockers, and drive timely decisions across all initiatives * Improve operational efficiency by introducing scalable processes, tools, and best practices * Ensure reliability, scalability, performance, data quality, observability, and governance standards are embedded in all initiatives * Drive p

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