Senior Production Test Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Bachelor’s degree in Industrial Engineering, Supply Chain, Operations, or a related field (or equivalent experience); Master’s is a plus
12+ years of relevant experience
Validated expertise in capacity forecasting, and deploying sophisticated planning tools like Anaplan or Ops Data Platform
Strong analytical, problem-solving, and scenario planning skills with the ability to navigate complexity and ambiguity in a fast-paced environment
Effective collaborator and communicator, proven track record to drive cross-functional teams and external manufacturing partners

Responsibilities

Engage in new product ATE New Product Integration (NPI) preparation, including Software and Hardware
Coordinate and prepare the capacity for NPI engineering and early sample production
Plan and lead across functional teams to transitioning from NPI to mass production - NPI CP/FT/BI Capacity
Support NPI Lab activities including engineering debug and hardware purchasing, scheduling and planning
Advanced Technology Group Support – Process TV (Test vehicle) Testing Support

Skills

Anaplan

Ops Data Platform

Capacity Forecasting

NPI

ATE

Software

Hardware

Engineering Debug

Test Vehicle

Supply Chain

Operations Planning

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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