Senior GPU Verification Architect 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, Artificial IntelligenceIndustries

Requirements

MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 7+ years of experience in related areas
Background in Computer Architecture with experience in modeling
Proficiency in C++, Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain
Hands-on experience with LLMs (e.g. GPT, Claude, Llama) and multimodal models
Strong collaboration skills with design and engineering teams
Strong problem-solving and debugging skills, with a track record of driving issues to closure

Responsibilities

Develop and verify GPU/SOC architectures while integrating GenAI applications to enhance overall productivity and streamline workflows
Define, build, and drive the verification test plan for specific GPU products to ensure outstanding performance
Ensure reliable execution of the defined test plan, triage failures, and successfully implement fixes to drive bugs to closure
Guide the improvement of the simulation platform and expand other resources to support future GPU/SOC architectures
Build and evaluate prototypes using LLMs and multimodal models
Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity
Build full-stack applications and ML ops pipelines that embed GenAI into architectural workflows
Ensure compliance with data privacy, IP protection, and design standards

Skills

Key technologies and capabilities for this role

C++PythonPyTorchTensorFlowHugging Face TransformersLangChainGPUSOCComputer ArchitectureLLMsGenAIML Ops

Questions & Answers

Common questions about this position

What is the salary range for this Senior GPU Verification Architect 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 for similar positions. You will also be eligible for equity and benefits.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need an MS, PhD or equivalent in Computer Science, Electrical Engineering, or related field with 7+ years of experience, background in Computer Architecture with modeling, proficiency in C++, Python, and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain, plus hands-on experience with LLMs and multimodal models.

What is the company culture like at NVIDIA?

NVIDIA has forward-thinking and hardworking people, fosters a diverse work environment, and seeks creative and autonomous individuals to join the team.

What makes a strong candidate for this position?

Strong candidates will demonstrate strong collaboration skills with design and engineering teams, problem-solving and debugging skills with a track record of driving issues to closure, along with the required technical expertise in GPU verification, computer architecture, and GenAI.

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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