Senior Design-for-Test Engineer, ATPG at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, HardwareIndustries

Requirements

5+ years of hands-on DFT/ATPG experience, knowledge & technical experience in DFT ASIC Design and in ATPG tools
Strong programming skills in scripting languages
BSc. in Electrical Engineering or Computer Engineering
Quick learner, proactive and self-motivated, eager to learn and contribute, sense of ownership, commitment, and responsibility

Responsibilities

In charge of state-of-the-art Design for Test/ATPG flows and implementation
Take full ATPG ownership end-to-end on a project, from architecture & planning to pattern generation, verification, and post-silicon bring-up and diagnosis
Inventing and maintaining automation flows that provide short test time to production

Skills

Key technologies and capabilities for this role

DFTATPGScanBISTOn-chip Scan CompressionFault ModelsASIC DesignATPG ToolsScripting LanguagesAutomation FlowsPost-Silicon Validation

Questions & Answers

Common questions about this position

What experience level is required for this Senior Design-for-Test Engineer role?

The position requires 5+ years of hands-on DFT/ATPG experience, knowledge in DFT ASIC Design, and experience with ATPG tools.

What programming skills are needed for this job?

Strong programming skills in scripting languages are required.

What education is required for this position?

A BSc. in Electrical Engineering or Computer Engineering is required.

What is the company culture like at NVIDIA for this team?

The team offers an exciting and educational environment where every individual has significant contribution to products and achievements, working on groundbreaking innovations with brilliant and talented people.

What qualities make a candidate stand out for this role?

Candidates stand out with knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation; experience in Mentor TestKompress ATPG tool; programming in TCL, PRL, Python & Unix shell scripts; and experience with ATE and Silicon bring-up.

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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