Senior Technical Program Manager, Data Platform

Details

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.

Responsibilities

• Own and drive end-to-end delivery of large-scale data infrastructure programs (for example: data lake, data platforms, pipelines).
• 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 post-launch evaluations, retrospectives, and continuous improvement.

Requirements

• B.S. (or equivalent experience) in Computer Science or a related technical field.
• 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 (ETL/ELT pipelines, data lakes/warehouses) and technologies like Spark, Kafka, Airflow, Snowflake, or similar.
• Strong 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.

Ways To Stand Out from the Crowd

• Experience supporting hardware or silicon development environments, including pre-silicon development workflows.
• Background with modern data platforms (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 tooling, workflows, and operational requirements for ML teams.
• Familiarity with FinOps principles and cloud cost optimization strategies, including resource tagging, rightsizing, and cost allocation frameworks.

Compensation and Benefits

• Base salary range: 200,000 USD - 322,000 USD (final base salary will be determined based on location, experience, and pay of employees in similar positions).
• Eligible for equity and benefits.

Additional information

• Employer: NVIDIA.
• Location: Santa Clara, California, United States. #LI-Hybrid
• Applications accepted at least until May 3, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and nondiscrimination.