Senior High-Speed IO 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

Semiconductor, TechnologyIndustries

Requirements

Ability to work on site in hardware lab environment 5 days a week
BSEE or BSCE or equivalent experience
6+ years or more of experience in HSIO validation
In-depth understanding of the HSIO protocol (such as PCI Express, Infiniband, Ethernet), specification, and its operation at a system level
Experienced in the operation of logic and protocol analyzer, and protocol exercisers
Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers)
Hands-on Post-Si bring up, functional validation, debug, and tuning of HSIO interfaces (such as PCI Express, Infiniband, Ethernet)
Outstanding verbal and written communication skills
Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules
Understanding of computing architectures
Coding experience with scripting languages such as Python

Responsibilities

Own HSIO (PCIe/NVLink) validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production
Coordinate with internal and external logic design, circuit design, board design, Simulation, diagnostics, firmware, driver, and marketing teams in different time zones, to ensure our products HSIO subsystem is specification compliant and tuned for optimal workload performance, and to drive the system into production
Assist in the bring-up of new hardware and solving tough system and board level issues with a focus on HSIO at a system level
Participate in reviewing board schematics, PCB layouts, and making design and component suggestions
Ensure interoperability with connected devices and system components in sophisticated interconnect topologies
Solve complex hardware and software HSIO issues at the system level on GPU accelerated computing platforms
Provide engineering support for manufacturing in both NPI and MP stages of production

Skills

PCIe

NVLink

HSIO Validation

Test Automation

Test Plan Development

PCB Layout

Board Schematics

Firmware

Drivers

Hardware Bring-up

System Validation

GPU Computing

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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