Director, Repair Factory Operations at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, ManufacturingIndustries

Requirements

Bachelor’s degree in Engineering, Operations, Supply Chain, or equivalent experience
15+ overall years of hands-on operations experience managing technology repair, refurbishment, or production environments
8+ years of management/leadership experience in reverse logistics or repair operations, including managing multiple sites and vendors (domestic and international)
Established record of managing daily factory performance, tracking critical metrics, and ensuring vendor accountability
Strong understanding of OEM server, PCBA, and system test processes
Experience implementing process improvements, capacity planning, and inventory control systems at repair or manufacturing facilities
Demonstrated ability to lead cross-functional teams (Engineering, Quality, Planning, Procurement) and deliver measurable performance gains
Data-driven decision maker with excellent problem-solving, communication, and vendor management skills

Responsibilities

Onboard new repair partners and manage day-to-day repair operations across sites, ensuring all facilities achieve turnaround time and quality targets
Lead daily operational reviews with repair partners to track key operational metrics, resolve bottlenecks, and enforce accountability for on-time delivery and repair commitments
Function as the key intermediary between repair partners and NVIDIA internal teams (Engineering, Quality, Procurement, Logistics, and Planning) to set shared goals and overcome barriers to meeting targets
Drive continuous improvement in repair processes, capacity utilization, yield, and quality through structured root-cause and corrective-action initiatives
Coordinate repair commit performance (planned vs. actual), monitoring metrics such as on-time completion rate, FA/bonepile recovery time, turnaround time, and test yield
Evaluate capital expenditures and repair expenses, and hold quarterly business meetings with repair collaborators
Partner with Engineering and Quality to implement repair process controls, engineering change management, and compliance audits
Work with Planning and Procurement to ensure supply chain readiness for new service offerings and ongoing repair builds
Champion operational excellence by ensuring sites meet quality and delivery commitments, improving metrics

Skills

Repair Operations

Operations Management

Root Cause Analysis

Continuous Improvement

Vendor Management

Supply Chain Coordination

Key Metrics Tracking

Capacity Utilization

Quality Control

Logistics

Procurement

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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