Senior Architect, Data Center Modeling at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, Data CentersIndustries

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills
Excellent interpersonal skills with success contributing to projects within multi-discipline teams
Proven track record of contributions to scaled Python-based software projects

Responsibilities

Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies

Skills

Key technologies and capabilities for this role

PythonSystems ArchitecturePerformance ModelingPower ModelingCost ModelingDistributed SystemsDevOpsSoftware ArchitectureAI

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 are required for the Senior Architect role?

Required skills include a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related fields (MS preferred), 8+ years of experience in systems architecture and modeling especially performance, power, or cost modeling of distributed systems, exceptional programming skills in Python, strong mathematical and analytical skills, excellent interpersonal skills for multi-discipline teams, and a proven track record in scaled Python-based software projects.

What makes a candidate stand out for this position?

Candidates stand out with experience in accelerated server architecture design and deployment up to hyperscale, background in parallel computing, server architecture, or datacenter design, expertise in data analysis and visualization especially pandas, excitement about accelerated computing and AI, and a passion for technology.

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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