HSIO Functional Validation Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

BS or MS degree in EE/CE or equivalent experience
8+ years working on bringup, validation, or design of HSIOs (e.g., PCIE/CXL, DDR, USB, UCIE)
Experience with HSIOs like PCIE or chip-to-chip interconnects including understanding of process/temp/voltage sensitivity
Understanding of HSIO power management
Understanding of firmware/driver structures and their interaction with Hardware
Strong EE fundamentals, knowledgeable in computer architecture, high speed interfaces, timing analysis, process variations, statistical error rates, and power analysis
Enjoy working in a collaborative environment

Responsibilities

Silicon bringup, validation, and debug NVIDIA’s multiple HSIOs, including NVLink and NVLink-C2C
Own the post-silicon electrical validation of Chip-to-Chip (C2C) and NVLink high-speed interfaces across multiple product lines (GPU, CPU, DPU, SoC)
Develop validation plans, test methodologies, and automation frameworks for link bring-up, margining, and compliance
Execute validation of signal integrity (SI), power integrity (PI), timing margins, equalization tuning, and error metrics across PCIe Gen5/Gen6, C2C, and NVLink interconnects
Debug link-level and system-level electrical issues including jitter, crosstalk, transient noise, BER, and channel loss problems
Collaborate closely with design, architecture, system, and SI/PI teams to ensure robust interface design and production-level performance
Characterize link health under PVT (process, voltage, temperature) corners and stress conditions to ensure product reliability
Deliver data analysis, reports, and recommendations to influence design decisions and drive issue resolution
Investigate HSIO power features, datapath analysis, and electrical for the next generation of products
Power feature char and tuning for key use cases, balancing performance and power

Skills

NVLink

NVLink-C2C

PCIe Gen5

PCIe Gen6

Signal Integrity

Power Integrity

Silicon Bringup

Silicon Validation

Debug

Automation Frameworks

Jitter

Crosstalk

BER

PVT Characterization

Equalization Tuning

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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