NVIDIA has been redefining computer graphics, personal computer gaming, and improved computing performance for more than 25 years. Today, we are leading the way in defining the next era of infrastructure powered by advanced technology. We deliver GPU-accelerated platforms that support hyperscale data centers, cloud environments, and AI factories worldwide. Our technology enables large-scale compute and high-performance networking systems that serve as the backbone for modern AI workloads.
We are seeking a Service Technical Program Manager because our hyperscale customer base is growing rapidly. This person will coordinate large-scale, everyday service operations programs for NVIDIA platforms across global server facilities. Within the Service Operations organization, this role is passionate about supporting production deployments and maintaining ongoing operations. It also includes performing retrofit and upgrade programs aligned with hyperscale customer needs. This is a highly execution-focused role that bridges product engineering, field service, supply chain, and customer operations, ensuring NVIDIA systems remain performant, serviceable, and continuously optimized in live production environments.
What you'll be doing:
Lead end-to-end execution of large-scale service programs, coordinating compute platforms driven by GPUs and advanced networking technologies across production data centers.
Support in-field service operations, including incident management, handling blocking issues, warranty delivery, and scalable hardware replacement strategies for customer field replaceable units.
Plan and or coordinate support for infrastructure upgrades and retrofit programs across AI deployments, including system refreshes, field hardware swaps, firmware rollouts, and architecture changes.
Collaborate with hyperscale customers to align service strategies with real-world data center operations, including rack-level deployment, cluster expansion, and failure domain development.
Collaborate across NPI - Product Engineering, Hardware, and Networking teams to embed Serviceability principles into products.
Support NPI-to-production transition planning, ensuring operational readiness across spares, repair workflows, tooling, and global logistics.
When applicable, act as a main point of contact for hyperscale customers, handling field blocking issues, strengthening partnerships, and driving continuous service improvements.
Apply data and operational insights to drive efficiency, and service delivery across deployed systems.
Enable global field and regional teams through clear runbooks, training, tools, and standardized processes for compute and network infrastructure support.
Build trusted relationships with customers through onsite and remote engagement, proactively improving service delivery, optimizing retrofit programs, and driving measurable operational success.
What We Need to See:
Bachelor’s degree (or equivalent experience) in Electrical, Mechanical, Computer, or Network Engineering, combined with strong program management expertise, including planning, execution, risk management, and delivery of complex technical programs across a global customer base.
15+ years proven ability supporting hyperscale or cloud data center environments, including extensive compute infrastructure and network technologies.
Practical experience in leading production data center activities, such as hardware installation, rack setup, cluster initialization, and lifecycle oversight.
Proven track record supporting GPU-based compute platforms and/or large-scale networking infrastructure in live environments.
Demonstrable experience in field service operations, encompassing incident management, hardware replacement methods (FRU/CRU), and delivering service on a large scale.
Experience leading large retrofit, upgrade, and refresh programs across distributed infrastructure fleets.
Ownership of end-to-end service programs, spanning NPI readiness through deployment, sustaining operations, and end-of-life transitions.
Solid understanding of service logistics, spares planning, and global supply chain coordination.
Familiarity with customer support systems (e.g., Salesforce/SFDC) and data-driven tools for operational insights and decision-making.
Ways to Stand Out from the Crowd:
Experience working directly within hyperscale providers, supporting compute and networking infrastructure at scale.
Ability to apply AI/ML-based tools to improve program clarity, optimize operations, and enable predictive decision-making.
Proven leadership of initiatives involving multiple functions across engineering, field operations, distribution, and customer-facing teams.
Solid ability to translate operational challenges into product improvements and serviceability enhancements.
Analytical approach with experience driving service optimization and operational excellence, and an effective clear communicator who can influence both technical teams and executive collaborators.
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
- Bachelor's degree (or equivalent experience) in Electrical, Mechanical, Computer, or Network Engineering
- 15+ years supporting hyperscale or cloud data center environments with extensive compute infrastructure and network technologies
- Practical experience leading production data center activities (hardware installation, rack setup, cluster initialization, lifecycle oversight)
- Proven track record supporting GPU-based compute platforms and/or large-scale networking infrastructure in live environments
- Experience in field service operations including incident management and hardware replacement methods (FRU/CRU)
- Experience leading large retrofit, upgrade, and refresh programs across distributed infrastructure fleets
- Ownership of end-to-end service programs spanning NPI readiness through deployment, sustaining operations, and end-of-life transitions
- Solid understanding of service logistics, spares planning, and global supply chain coordination
- Familiarity with customer support systems (e.g., Salesforce/SFDC) and data-driven tools for operational insights
- Experience working directly within hyperscale providers supporting compute and networking infrastructure at scale
- Ability to apply AI/ML-based tools to improve program clarity, optimize operations, and enable predictive decision-making
- Proven leadership of cross-functional initiatives across engineering, field operations, distribution, and customer-facing teams
- Analytical approach driving service optimization and operational excellence; strong communication and executive influence
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 — 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.
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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.
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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.”
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