Senior System Design Test Architect at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductors, Networking, HardwareIndustries

Requirements

BSc or MSc in Electrical Engineering
Integration capabilities of self-task management, vast electronic knowledge, production and testing process knowhow
Background in working with contract manufacturers and suppliers
Minimum 5 years of experience as a DFT engineer at chip/system level, as Board Design engineer or as system architect
Management and follow up till completion of multi-functional and personal tasks
Personal skills: proactive and self-instruction, good interpersonal relationship, multitasking, well organized and a quick learner

Responsibilities

Leading optimal products testing definitions includes: HW, SW, FW, Mechanical fixtures, and cables/harnesses for customized production testing set ups
Making pitches in front of large audience a new product testing architecture, DFT and testing method while providing justifications for the testing concept
Responsible for product testing maximum coverage, Testing specification documents and production test flow process for each system
Working with Company’s engineering team during the developing process of the product from pre-design through the design and influence on the product design from DFT – design for testability aspects
Supporting production ramp up and scalability, lead and fast responding time for ECR/ECO implications
Examine New Technologies, testing capabilities and their implementation for the next generation products
Ensure testing set ups and coverage are met the DFT requirements and timetable
Lead DFT Risk assessment and drive mitigations to reduce the risks
Development and deployment of automatic testers for NVIDIA’s network business units (Computing network adapters and High-speed switch systems) including hardware and software
Analyzing and monitoring the manufacturing data and find / prevent quality issues based on big data using Machine learning, statistical tools, and AI (artificial intelligence)
Leading smooth production and capacity enlargement
Failure analysis of return material from customers to understand the reason of failures
Validate the test performance and stability using QA (V&V – validation and verification) methods

Skills

System Testing

Hardware Testing

Software Testing

Firmware Testing

DFT

Design for Testability

Machine Learning

Statistical Analysis

Failure Analysis

V&V

Production Testing

Test Architecture

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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