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
NVIDIA 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!
#LI-Hybrid
Your 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.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA 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.Skills Required
- B.S. in Computer Science or a related technical field
- 12+ years of technical program management experience
- Experience in data infrastructure, distributed systems or on-prem platforms
- Familiarity with ETL/ELT pipelines and data technologies
- Excellent cross-functional leadership and communication skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
