Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Leadership @ 4
Communication @ 7
Networking @ 4
Customer Support @ 4
Salesforce @ 3
GPU @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Service Technical Program Manager to coordinate large-scale service operations programs for NVIDIA platforms across global hyperscale server facilities. This execution-focused role bridges product engineering, field service, supply chain, and customer operations to support production deployments, retrofit and upgrade programs, and ongoing operations for GPU-accelerated compute and advanced networking systems in live data center environments.
Responsibilities
- Lead end-to-end execution of large-scale service programs for GPU-driven compute platforms and advanced networking across production data centers.
- Support in-field service operations: incident management, handling blocking issues, warranty delivery, and scalable hardware replacement strategies for field replaceable units (FRU/CRU).
- Plan and coordinate infrastructure upgrades and retrofit programs (system refreshes, field hardware swaps, firmware rollouts, architecture changes) across AI deployments.
- Collaborate with hyperscale customers on rack-level deployment, cluster expansion, and failure domain development to align service strategies with real-world data center operations.
- Work cross-functionally with NPI/Product Engineering, Hardware, and Networking teams to embed serviceability principles into products and support NPI-to-production transition planning.
- Ensure operational readiness across spares, repair workflows, tooling, and global logistics.
- Act as a point of contact for hyperscale customers when applicable, addressing field blocking issues 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 runbooks, training, tools, and standardized processes for compute and network infrastructure support.
- Build trusted customer relationships through onsite and remote engagement and drive measurable operational success for retrofit programs.
Requirements
- Bachelor’s degree (or equivalent experience) in Electrical, Mechanical, Computer, or Network Engineering, plus strong program management expertise.
- 15+ years of experience supporting hyperscale or cloud data center environments, including extensive compute infrastructure and network technologies.
- Practical experience leading production data center activities: hardware installation, rack setup, cluster initialization, and lifecycle oversight.
- Proven experience supporting GPU-based compute platforms and/or large-scale networking infrastructure in live environments.
- Demonstrable experience in field service operations, including incident management and hardware replacement methods (FRU/CRU) at scale.
- Experience leading large retrofit, upgrade, and refresh programs across distributed infrastructure fleets.
- Ownership of end-to-end service programs from 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
- Direct experience working 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 involving engineering, field operations, distribution, and customer-facing teams.
- Strong ability to translate operational challenges into product improvements and serviceability enhancements.
- Analytical approach with experience driving service optimization and operational excellence and strong communication skills with technical teams and executives.
Compensation and Benefits
- Base salary range: 240,000 USD - 379,500 USD (determined by location, experience, and pay of employees in similar positions).
- Eligible for equity and NVIDIA benefits.
Other information
- Applications accepted through July 13, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.
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