Senior HSIO 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, AI, High-Performance Computing, GamingIndustries

Requirements

BS or MS in Electrical or Computer Engineering (or equivalent experience) and a minimum of 8 years of relevant experience
In depth understanding of PCIe (or similar) protocol and characterization/validation methods in post-silicon environment
Excellent knowledge of Signal integrity concepts, Silicon characteristics and high speed/SERDES functional validation
Good knowledge of lab equipment (DSOs, BERT, Protocol/Logic analyzers)
Understanding of firmware/driver structures and their interaction with HW
Strong in scripting languages (Perl, Python) to write direct test/debug programs for stress and failure analysis
Strong project management, collaboration, and communication skills

Responsibilities

Drive the planning and execution of NVLINK/C2C or similar interfaces in the areas of functional bring-up, system-level validation, productization and troubleshooting for NVIDIA GPUs and SOCs
Drive schedule, programming guides, customer critical issues, manufacturing yield improvements, and design feedback
Investigate technically complicated HSIO bugs and help drive debug efforts across various teams
Coordinate with logic design, circuit design, board design, Simulation, diagnostics, ATE, firmware, driver, and marketing teams to drive the chip into production
Develop new methodologies to improve the silicon validation process, which will help meet upcoming performance, adaptability, and safety industry standards
Ensure interoperability with connected devices and system components in sophisticated interconnect topologies
Engage proactively with multi-functional engineering teams, including system architects, mixed-signal design, DGX, software/firmware, hardware/software quality assurance, operations, and application engineering to facilitate the design, development, troubleshooting, and release of upcoming products

Skills

HSIO

NVLink

C2C

GPU

SoC

system-level validation

silicon validation

ATE

firmware

logic design

circuit design

board design

diagnostics

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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