Senior System Validation Methodology Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

MS or BS degree in EE/CE or equivalent experience
8+ years of experience in GPU/SOC/CPU system level architecture of data center, and HW validation and bringup methodologies across Pre-Si, Post-Si, product, and Tray/Rack/Cluster level
Working experience with system level and interconnect power management optimizations, HSIOs protocol/functional/electrical, Serdes, SI/PI, Clock, PLL, boot, reset, binning, PVT sensitivity, platform integration
Working experience on Pre-Si/FPGA and Post-Si validation, debug, root cause analysis, and fixing against product needs
Deep understanding of OS/firmware/driver structures and their interaction with HW
Hands-on experience with lab test and measurement equipment
Effective collaboration, communication, and presentation skills across different functional teams

Responsibilities

Lead NVIDIA Product GPU/CPU/SOC IP/system level validation strategy, characterization and tuning methodology, platform/component interoperability, debug capability and tools/scripts, system, SLT, and manufacturing test requirements, and lead cross-function teams (ASIC, SW, FW, Board, PHY, SI/PI etc.) for development and implementation
Lead new feature silicon bring-up, validation, and debug, and coordinate product schedule to release feature with high quality at aggressive schedule
Deep dive into technically challenging Pre-Si and Post-Si bugs, lead debug efforts across cross-functional teams to fix issues on schedule, envision design optimization, and collaborate with designers to implement for next generation
Proactively drive and identify opportunities and methods optimization and innovation for test strategies, process and workflow, validation methodology and efficiency based on project learnings and challenges

Skills

Key technologies and capabilities for this role

GPUSOCCPUSystem ValidationSilicon BringupPre-Si ValidationPost-Si ValidationASICFirmwareBoard DesignPHYSI/PIPower ManagementDebuggingInterconnect

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A MS or BS degree in EE/CE or equivalent experience is required, along with 8+ years of experience in GPU/SOC/CPU system level architecture, HW validation, bringup methodologies, and related areas like power management, HSIOs, Serdes, and Pre-Si/Post-Si validation.

What are the main responsibilities of this position?

You will lead NVIDIA Product GPU/CPU/SOC IP/system level validation strategy, new feature silicon bring-up, debug cross-functional teams, and drive optimizations for test strategies and validation methodologies.

What is the compensation like at NVIDIA for this role?

NVIDIA offers competitive salaries and a generous benefits package.

What is the work arrangement or location for this position?

This information is not specified in the job description.

What does NVIDIA's team culture look like?

NVIDIA features some of the most hard-working people in the world working together to promote rapid growth, as part of an outstanding team supporting the latest in GPU and AI technology.

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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