NVIDIA is seeking a Senior Technical Program Manager to drive infrastructure operations across DGX Cloud. In this role, you will partner closely with engineering, operations, and reliability teams to improve service health, increase infrastructure availability, and strengthen execution across a large-scale AI cloud environment. This is an outstanding opportunity for a senior program leader who thrives in highly technical settings and knows how to translate complex signals into clear priorities, aligned plans, and measurable business outcomes.
What you’ll be doing
- Drive complex technical programs focused on infrastructure operations, service health, operational readiness, and platform reliability.
- Partner with engineering, operations, and reliability teams to improve infrastructure visibility and accelerate issue resolution.
- Build and manage coordinated program plans, achievements, dependencies, risks, and success metrics across multiple teams.
- Lead cross-functional operating cadences for execution tracking, issue review, customer concern management, and leadership communication.
- Translate operational data, telemetry, and incident trends into prioritized actions with clear owners and measurable closure plans.
- Improve the mechanisms used to track infrastructure health, operational risks, and recovery progress.
- Coordinate readiness for maintenance events, infrastructure changes, and large-scale operational transitions.
- Align teams around the highest-impact issues affecting infrastructure performance and service quality.
- Communicate progress, tradeoffs, risks, and recommendations to technical and leadership audiences.
What we need to see
- 12+ years of technical program management, infrastructure program management, or related experience in large-scale cloud or platform environments.
- Proven track record leading complex cross-functional programs across engineering and operations teams.
- Experience with infrastructure reliability, observability, operational readiness, or service health initiatives.
- Strong ability to translate technical complexity into structured plans, decisions, and executive-ready communication.
- Demonstrated success managing dependencies, risks, and blocking issues in matrixed organizations.
- Technical fluency in cloud infrastructure, distributed systems, or large-scale platform operations.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ways to stand out from the crowd
- Experience with AI infrastructure, accelerated computing, or high-performance computing environments.
- Experience improving service health, infrastructure availability, or operational metrics at scale.
- Background partnering closely with infrastructure, reliability, or observability teams.
- Strong history of creating scalable operating mechanisms that improve execution across organizations.
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 technical program management, infrastructure program management, or related experience in large-scale cloud or platform environments
- Experience leading complex cross-functional programs across engineering and operations teams
- Experience with infrastructure reliability, observability, operational readiness, or service health initiatives
- Ability to translate technical complexity into structured plans, decisions, and executive-ready communication
- Experience managing dependencies, risks, and blocking issues in matrixed organizations
- Technical fluency in cloud infrastructure, distributed systems, or large-scale platform operations
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Experience with AI infrastructure, accelerated computing, or high-performance computing environments
- Experience improving service health, infrastructure availability, or operational metrics at scale
- Background partnering with infrastructure, reliability, or observability teams
- Experience creating scalable operating mechanisms that improve execution across organizations
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.”
