Senior DFT Methodology - Data Analytics and AI 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

Semiconductor, TechnologyIndustries

Requirements

BSEE (or equivalent experience) with 5+ years, MSEE with 3+ years, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management
Experience with SQL, ETL, and data modeling
Hands-on experience with cloud platforms (AWS, Azure, GCP)
Design and implement highly scalable, fault tolerant distributed database solutions
Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads
Excellent knowledge in using statistical tools for data analysis & insights
Strong programming and scripting skills in Perl, Python, C++ or Tcl
Outstanding written and oral communication skills with the curiosity to work on rare challenges

Responsibilities

Work with pre-silicon and post-silicon data analytics - visualization, insights and modeling
Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins
Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency
Work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods
Help develop and deploy DFT methodologies for next generation products using Gen AI solutions
Help mentor junior engineers on test designs and trade-offs including cost and quality

Skills

DFT

Data Analytics

Data Visualization

ETL

SQL

Applied Machine Learning

Gen AI

Data Pipelines

Statistical Analysis

Database Management

Algorithm Design

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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