Senior Validation Architect, NVLink at NVIDIA

Westford, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

MS or PhD in Electrical Engineering, Computer Science or Computer Engineering (or equivalent experience)
At least 8+ years of relevant experience in some combination of architecture, design, and verification
Firsthand work experience with innovative ASIC design processes
C++ and scripting language (Python, Makefile) experience; SystemC modeling a plus
Strong debugging skills in FW/SW environments and IP model integration
Testplan development and execution experience
Completed and shipped multiple projects and skilled at processor and/or I/O Architecture
Self-starter excited to work as part of a small dynamic team

Responsibilities

Working with other architects to define architectural modeling and testing requirements for new NVLink features
Driving architectural testing requirements into lower level testbenches
Implementing functional models and integrating those into fullchip and multichip environments for both architectural validation and firmware/software development
Supporting and debugging tests in model, emulation, and post-silicon environments

Skills

Key technologies and capabilities for this role

C++PythonSystemCMakefileASIC designVerificationArchitectural modelingDebuggingTestplan developmentProcessor ArchitectureI/O ArchitectureFirmwareEmulationPost-silicon validation

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered with this role?

You will be eligible for equity and benefits.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include an MS or PhD in Electrical Engineering, Computer Science or Computer Engineering, at least 8+ years of experience in architecture, design, and verification, C++ and scripting language (Python, Makefile) experience, strong debugging skills, and testplan development experience. SystemC modeling and experience shipping multiple projects in processor/I/O architecture are also highlighted.

What is the team environment like at NVIDIA for this role?

You'll work as a self-starter excited to be part of a small dynamic team with forward-thinking and hardworking people.

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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