NVIDIA is seeking a Senior Technical Program Manager to help develop the strategy and implementation model for DGX Cloud platform infrastructure. In this role, you will collaborate across infrastructure, platform software, and multi-functional engineering teams to transform technical direction into actionable plans, clear tradeoffs, and coordinated progress. This role is a strong fit for a senior TPM who can operate at both strategic and operational altitude, linking long-range platform goals with near-term engineering delivery.
What you’ll be doing:
- Work together with infrastructure and platform leaders to drive forward strategic technical programs across cloud infrastructure and platform software.
- Synthesize inputs from architecture, operations, engineering, and partner teams into clear program direction and actionable plans.
- Develop strategy briefs, roadmap proposals, dependency maps, and phased execution plans for multi-team initiatives.
- Drive alignment on technical tradeoffs, sequencing, priorities, and implementation approaches across organizations.
- Help translate platform evolution into scalable processes, operating models, and delivery mechanisms.
- Identify recurring structural gaps and recommend durable improvements across planning, governance, and execution.
- Connect long-term planning with delivery achievements, readiness criteria, and measurable outcomes.
- Facilitate leadership decisions by providing clear options, risks, and recommendations.
- Represent the coordinated program view across technical and business collaborators.
What we need to see:
- 12+ years of experience leading technical programs in infrastructure, platform software, systems, or comparable technical domains.
- Proven experience leading multi-functional strategic programs from concept through execution.
- Strong ability to work with deeply technical teams and turn complexity into clear decisions and plans.
- Excellent analytical, written, and verbal communication skills.
- Demonstrated success influencing direction across multiple teams without direct authority.
- Technical proficiency in cloud platforms, distributed systems, infrastructure software, or systems architecture.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ways to stand out from the crowd:
- Experience spanning multiple infrastructure domains such as networking, storage, observability, security, or platform operations.
- Experience connecting platform strategy to execution in large-scale technical organizations.
- Familiarity with AI infrastructure, accelerated computing, or cloud platform ecosystems.
- Strong history of converting operational lessons into durable platform improvements.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 an inclusive 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
- 12+ years of experience leading technical programs in infrastructure, platform software, systems, or comparable technical domains
- Experience leading multifunctional strategic programs from concept through execution
- Ability to work with deeply technical teams and translate complexity into clear decisions and plans
- Excellent analytical, written, and verbal communication skills
- Success influencing direction across multiple teams without direct authority
- Technical proficiency in cloud platforms, distributed systems, infrastructure software, or systems architecture
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Experience spanning infrastructure domains such as networking, storage, observability, security, or platform operations
- Experience connecting platform strategy to execution in large-scale technical organizations
- Familiarity with AI infrastructure, accelerated computing, or cloud platform ecosystems
- History of converting operational lessons into durable platform improvements
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
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