Senior System Test Methodology Development Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Datacenter, Automotive, EmbeddedIndustries

Requirements

MS with 8+ years of experience in EE, CE, CS, Systems Engineering, or similar and experience in a related hardware engineering position or equivalent experience
Rich experience at manufacturing and production testing including boards/tray/rack/cluster levels
Experience working with GPU/CPU/memory/Highspeed IO/ethernet/router&switcher system features and crafting test strategies
Familiar with DPPM optimization, test coverage design to meet production requirements and manufacturing strategies for quality/performance/cost optimization
Understanding of product binning methods, optimization techniques, methods, trade-off analysis and tools for data analysis and statistics
Background in creating new system tests or test conditions and good skills in Linux, Python, and Perl
Excellent problem solving, collaborative, and interpersonal skills

Responsibilities

Build test methodology, infrastructure and flow to ensure board/tray/rack/cluster level alignment to manufacture specifications that affect yield, cost, performance, reliability&stability, thermal and power
Craft test strategies for new features, including specifications and validation of test equipment and diagnostic software to bridge gaps between product design targets and manufacturing testability
Create processes that improves quality/coverage key KPIs (DPPM, failure rate trends, etc) in our production screen flows
Perform or automate test runs, analyze and visualize data to ensure a high-quality test, and guide debug for yield or escape issues
Partner with test engineering and operations teams to implementing efficient manufacturable test solutions

Skills

Key technologies and capabilities for this role

GPUCPUSystem TestingTest MethodologyHardware ValidationPower TestingThermal TestingTest AutomationData AnalysisYield OptimizationDebuggingManufacturing TestDiagnostic SoftwareKPIsProduction Screening

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A Master's degree with 8+ years of experience in EE, CE, CS, Systems Engineering, or similar is required, along with experience in a related hardware engineering position.

What technical skills are needed for the Senior System Test Methodology Development Engineer position?

Candidates need rich experience in manufacturing and production testing at board/tray/rack/cluster levels, working with GPU/CPU/memory/Highspeed IO/ethernet/router&switcher systems, and skills in Linux, Python, and Perl.

What are the key responsibilities in this role?

Responsibilities include building test methodology and infrastructure for board/tray/rack/cluster alignment, crafting test strategies for new features, creating processes to improve quality KPIs, performing test runs and data analysis, and partnering with test engineering teams.

What skills would make me stand out as a candidate?

Familiarity with Nvqual, NV Partner Diagnostics, and LLM deployment and testing would help you stand out.

What is the salary or compensation for this position?

This information is not specified in the job description.

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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