NVIDIA

Technology

ManufacturingTestEngineer

$132–207k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Manufacturing Test Engineer at NVIDIA. Skills: Manufacturing Test, System Level Testing, Test Automation. Run production SLT test stations. Maintain production SLT test stations”

What You'll Achieve.

Improve yield; Improve stability; Improve throughput; Ensure smooth scaling; Ensure repeatability

Industry & Context.

Technology
Problems you'll solve

Problem-solving skills; Root cause analysis

What They're Looking For.

Must Have

Bachelor's degree in EE, Automation, or CE, 5+ years semiconductor testing experience, 5+ years electronic manufacturing experience, Test automation capability, Automated test flows, Scripting for production testing, Infrastructure for production testing, Active thermal control expertise, Python programming background, Linux shell scripting background, C# programming background, Hands-on mechanical knowledge, Read engineering drawings, Test data analysis proficiency, Statistical tools for improvement

Nice to Have

Solving complex engineering issues, Practical, lab-based tasks, Thrive in fast-paced environment, Introduce automation in manufacturing, Apply AI in manufacturing, Apply AI in test workflows

What You'll Do.

Run production SLT test stations

Maintain production SLT test stations

Optimize production SLT test stations

Perform preventative maintenance

Lead tester development

Lead cooling solution development

Monitor system performance

Define test requirements

Develop test programs

Develop automation control

Develop test hardware

Debug SLT test stations

Perform system-level failure analysis

Perform silicon-level failure analysis

Drive corrective actions

Develop scripts for automation

Develop tools for automation

Develop scripts for data collection

Develop tools for data collection

Develop scripts for performance analysis

Develop tools for performance analysis

Build process documentation

Build work instructions

Drive knowledge transfer

Ensure smooth scaling

How You'll Work.

Team & Collaboration

Cross-functional engineering teams; Essential teammate

Communication Scope

Technical domain expert

Process & Methodology

Continuous improvement

Full Job Description

We are currently seeking a Test Engineer to join our SLT Manufacturing Team. NVIDIA is the world leader in GPU computing, artificial intelligence, high-performance computing, computer gaming, and autonomous technologies. Our Operations team is looking for a dedicated individual to support the System Level Testing manufacturing team and facilitate diverse manufacturing activities. We play a crucial role in testing the GPUs and SoCs shipped to customers worldwide. We look forward to your innovative ideas and creativity to tackle daily challenges and develop advanced testing solutions. ## **What You’ll Be Doing:** * Work in a dynamic manufacturing environment to run, maintain, and optimize production SLT test stations, ensuring readiness for high‑volume testing through effective setup, tuning, and preventative maintenance. * Lead the development, maintenance, and upgrade of tester and cooling solutions, and establish robust processes for tracking system health, performance monitoring, and continuous improvement. * Collaborate closely with cross‑functional engineering teams on defining test requirment, system integration, including test programs, automation control, and test hardware, to ensure compatibility with high‑volume production requirements. * Debug SLT test stations and perform system‑level and silicon‑level failure analysis to quickly identify root causes and drive corrective actions. * Develop scripts and tools to support test automation, data collection, and test equipment performance analysis. * Design and execute DOE studies to resolve engineering issues in the production environment and improve yield, stability, and throughput. * Build and maintain process documentation and work instructions, and drive knowledge transfer from NPI into mass production teams to ensure smooth scaling and repeatability. **What we need to see:** * Bachelor’s degree (or equivalent experience) in Electrical Engineering, Automation Engineering, Computer Engineering, or a related

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