Senior Technical Program Manager, Data Platform at NVIDIA | Apply at NVIDIA | Jobs near California

Job highlights

Lead data platform strategy and evolution for silicon development.

Drive expansion of critical data systems and services.

Manage large-scale data infrastructure program delivery.

Partner with engineering teams on roadmaps and requirements.

Ensure reliability, scalability, and performance of data platforms.

About the role

About The Role

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 post-launch evaluations, retrospectives, and continuous improvement

What We Need To See

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 (ex: ETL/ELT pipelines, data lakes/warehouses, etc) and technologies like Spark, Kafka, Airflow, Snowflake, or similar ecosystems
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 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

Key skills/competency

Technical Program Management
Data Platform Strategy
Data Infrastructure Delivery
Stakeholder Alignment
Risk Management
Cross-functional Leadership
System Design
Data Ecosystems
Scalability and Performance
NVIDIA Data Platform

How to get hired

Tailor your resume: Highlight 12+ years of technical program management in data infrastructure and large-scale platforms. Emphasize system design, scalability, and reliability.
Showcase relevant experience: Detail your familiarity with data ecosystems like Spark, Kafka, Airflow, and Snowflake. Include experience with ETL/ELT, data lakes/warehouses.
Demonstrate leadership: Provide examples of cross-functional leadership, influencing without authority, and managing complex projects with geo-distributed teams.
Prepare for technical questions: Be ready to discuss system design concepts, data platform architecture, and how you've driven adoption and influenced engineering culture.
Research NVIDIA's values: Understand their commitment to innovation, collaboration, and accelerating engineering velocity in silicon development.

Frequently asked questions

What specific data ecosystems and technologies are most relevant for the Senior Technical Program Manager role at NVIDIA?

For the Senior Technical Program Manager position at NVIDIA, familiarity with data ecosystems such as ETL/ELT pipelines, data lakes/warehouses is crucial. Specific technologies like Spark, Kafka, Airflow, and Snowflake, or similar platforms, are highly valued. Demonstrating a strong understanding of system design concepts related to scalability, reliability, and performance within these ecosystems will significantly strengthen your application.

How important is experience with on-prem or hybrid data platforms for this NVIDIA role?

Experience with modern data platforms, particularly in on-prem or hybrid environments utilizing infrastructure-as-code practices, is a significant advantage for this Senior Technical Program Manager role at NVIDIA. While not strictly mandatory, it's a key differentiator that can help you stand out, especially if it aligns with supporting hardware or silicon development workflows.

What level of experience is expected for a Senior Technical Program Manager at NVIDIA?

NVIDIA is seeking a Senior Technical Program Manager with at least 12 years of technical program management experience. This should include substantial ownership in areas like data infrastructure, distributed systems, or large-scale on-prem platforms, ideally handling data volumes in the multi-TB/day range.

How does NVIDIA handle remote work for Senior Technical Program Manager roles?

While NVIDIA has a strong collaborative culture, this specific Senior Technical Program Manager role appears to be based in Santa Clara, CA, and likely requires a hybrid or on-site presence to facilitate complex collaboration with geo-distributed teams and hardware engineering. It's always best to confirm the specific work arrangement during the application process or interview stages.

What are the key responsibilities of a Senior Technical Program Manager on NVIDIA's Hardware Infrastructure team?

As a Senior Technical Program Manager on NVIDIA's Hardware Infrastructure team, you will own and drive end-to-end delivery of large-scale data infrastructure programs. This includes defining roadmaps, managing stakeholder communication, mitigating risks, and improving operational efficiency by introducing scalable processes and best practices for data platforms supporting silicon development.

Senior Technical Program Manager, Data Platform