Solutions Architect, Data Center Infrastructure

Texas, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Semiconductors, Artificial Intelligence, Data CenterIndustries

Requirements

Candidates should possess a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field, or equivalent experience. A minimum of 3+ years of experience in enterprise and/or hyperscale data centers with continual infrastructure deployment, preferably for high density AI/HPC data centers, is required. Working experience in data center operations or infrastructure management roles focusing on large-scale data center deployments is necessary, along with strong technical knowledge and experience in the data center stack, including power distribution, liquid cooling, servers, networking, storage, and pre-deployment planning. Relevant certifications are preferred.

Responsibilities

The Solutions Architect will lead the planning and deployment of AI data centers, including power/cooling systems, network provisioning, and validation. They will audit, plan, and deploy data center infrastructure, ensuring integrity and adherence to NVIDIA reference architectures and industry standards. Responsibilities include collaborating on infrastructure solutions, managing deployment of AI infrastructure, conducting pre-deployment planning, evaluating customer infrastructure proposals, performing testing and validation of compute systems, mentoring the NVIS team, establishing quality assurance processes, and driving continuous improvement initiatives for data center infrastructure efficiency, resilience, and sustainability. The role also involves collaborating and communicating across teams, vendors, and customers, and serving as a domain expert for infrastructure inquiries.

Skills

Data Center Infrastructure

AI Data Centers

Power Systems

Cooling Systems

Cabling

Network Provisioning

Validation

Data Center Audit

Deployment

NVIDIA Reference Architectures

Liquid Cooling

Rack-Scale Systems

Network Port Mapping

Fiber Optic Cabling

Copper Cabling

Telemetry Systems

Server Hardware

Storage Systems

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.

Land your dream remote job 3x faster with AI

Try Jobo Free