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NVIDIA

Designs the chips and software that power AI

Senior RMA Customer Service Transformation Engineer

Customer ExperienceConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Over 12 years of experience in large enterprise customer relations and case coordination, ideally within service, repair, and/or supply chain operations.
  • A solid understanding of customer service functional processes, including case intake, triage, handling blocking issues, resolution, and closure.
  • Practical experience with customer service platforms and tools, including SFDC, customer relationship management platforms, case management, ticketing, workflow, and service management systems.
  • The ability to transform customer service requirements into improvements in processes, systems, reporting, and the operating model.
  • Solid knowledge of service and repair supply chain processes, encompassing planning, logistics, inventory, fulfillment, and repair operations.
  • A proven track record of managing customer concerns, operational risks, and cross-functional issue resolution.
  • Strong communication skills and customer service experience converting operational specifics into clear business and executive reports.
  • Strong analytical skills and comfort working with case metrics, dashboards, service levels, backlog, aging, and operational data.
  • Experience leading cross-functional transformation initiatives in a dynamic environment.
  • A bachelor's degree in business, supply chain, operations, engineering, information systems, or equivalent experience.

Responsibilities

  • Provide transformation leadership for customer service and case management processes and procedures throughout service and repair supply chain operations worldwide.
  • Own customer-facing workflows for intake, triage, addressing blocking issues, communication, resolution, and closure.
  • Partner with customer service, repair, logistics, planning, quality, information technology, and business teams to improve service outcomes.
  • Improve customer service systems, customer relationship management platforms, dashboards, and workflow tools to increase transparency and performance.
  • Analyze case trends, service performance, backlog, response times, aging, and root causes to drive corrective actions across the end-to-end lifecycle.
  • Support executive-level reporting, business reviews, and customer-facing updates.
  • Drive transformation initiatives that improve responsiveness, consistency, scalability, and customer satisfaction.
  • Build and deliver scalable customer management practices, governance mechanisms, and critical performance metrics.

Desired Qualifications

  • Experience transforming customer service or case management operations for high-technology products with large enterprise hyperscalers and data center service providers.
  • Demonstrated experience refining and advancing processes, service tools, case workflows, routing rules, dashboards, automation, and self-service options.
  • Lean, Six Sigma, APICS, PMP, ITIL, or similar operational certification.
  • Strong executive presence and the ability to lead critical customer or business issues in a fast-paced setting.
  • A track record of using data, systems, and process development to drive measurable customer experience improvements.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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