Senior System Level Product Engineer at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Hardware, AIIndustries

Requirements

BS or MS degree in EE/CE, or equivalent experience
5+ years of relevant industry experience
Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture
SLT experience
Strong data analysis skills. Prior experience working with volume data is a plus
Validated hands-on lab experience with silicon bringup and lab debug
Good understanding of firmware/driver structures and their interaction with HW
Problem solving, debugging, analysis and logical reasoning skills with examples to prove it
Experience with Python, BASH, Linux

Responsibilities

Work closely with other HW engineering teams such as silicon design/characterization teams, IO design/validation teams, system feature owners, operations to determine coverage needs and constraints to resolve appropriate test conditions, diagnostic contents for production line screen
Define requirements to SW and board teams to support/improve test infrastructure, debug knobs and data collection features needed to support manufacturing screens effectively
Craft creative solutions and workarounds through volume data analysis and lab experimentation to solve challenging yield and test problems seen in production
Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements
Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage
Define procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs
Create key performance indicators used to evaluate the effectiveness of the new tests

Skills

System Level Engineering

Post Silicon Bring-up

Debug

Test Spec Development

Manufacturing Test

Yield Analysis

Data Analysis

Lab Experimentation

Silicon Design

IO Validation

Test Infrastructure

Production Screen Optimization

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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