Senior HSIO Validation Methodology Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

BS or MS degree in Electrical/Computer Engineering or equivalent experience
8+ years working in HSIO development, bringup planning, HSIO SerDes, protocol, functional and electrical validation, SI/PI, and/or power optimization
Experience with HSIOs like PCIE/CXL/USB/UFS/MGBE etc or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity on BER
Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting
Working experience on Pre-Si/FPGA and Post-Si validation, debug, rooting cause 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 and communication, 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 requirement 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 High-Speed IO Pre-Si and Post-Si bugs and lead debug efforts across various teams (ASIC/FW/SW/PHY/board) to fix the issue on schedule and envision design optimization and collaborate with designer 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 challenging
Evaluate next gen silicon and define methodology, design, SW/FW, tool requirements needed for HW validation

Skills

HSIO

SerDes

PCIe

CXL

USB

UFS

MGBE

SI/PI

PHY

ASIC

SLT

debug

validation

bring-up

SOC

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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