NVIDIA

Solutions Architect, Data Center Infrastructure

Texas, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Center Infrastructure, Information Technology, Hardware & NetworkingIndustries

Position Overview

  • Location Type:
  • Job Type: Full time
  • Salary:

NVIDIA is seeking a Solutions Architect in Data Center Infrastructure to join our Infrastructure Specialists team. Academic and commercial groups worldwide are using NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers! NVIDIA is looking for someone who can lead planning and deployments of AI data centers including power/cooling systems, cabling and network provisioning and bring-up/validation.

As the NVIS Solutions Architect for Datacenter Infrastructure, you will focus on data center audit, planning and deployment ensuring the integrity of NVIDIA platform infrastructure. Your primary goal will be to guarantee that all aspects of the data center's physical infrastructure are meticulously planned, implemented, and validated to meet NVIDIA reference architectures, operational requirements, and industry standards. This infrastructure includes architectural systems, power distribution, liquid/air cooling systems, compute, network and cabling (fiber and copper), and telemetry systems.

Responsibilities

  • NVIS Datacenter Engineering and Planning:
    • Collaborate with other teams to plan and implement data center infrastructure solutions based on NVIDIA Datacenter reference architecture, including power distribution, cooling systems, network architecture, server hardware, and storage systems.
    • Plan and manage deployment of NVIDIA's pioneering AI infrastructure solutions including highly complex rack-scale, liquid cooled compute and networking hardware systems, in a fluid and fast paced environment.
    • Conduct pre-deployment planning including reviewing cluster and data center architecture, plan network port mapping and fiber optic cabling BOM, identify potential risks, train vendors and find areas for improvement.
    • Evaluate customers' and partners' infrastructure design proposals for consistency with industry standards and regulatory requirements. Provide feedback and recommendations to improve performance, scalability, and cost-effectiveness.
    • Perform testing, troubleshooting and validation of compute systems based on collaboration with product and engineering teams.
    • Act as the NVIS mentor providing guidance, mentorship, and support to ensure the NVIS team's success in their respective roles.
  • Quality Assurance:
    • Establish and enforce quality assurance processes to verify that deployments meet established specifications and performance benchmarks.
    • Conduct thorough bring-up, testing, and validation to validate the functionality and reliability of infrastructure components.
  • Continuous Improvement:
    • Drive continuous improvement initiatives to enhance data center infrastructure efficiency for NVIDIA data center reference architecture and deployment blueprint, resilience, and sustainability.
    • Find opportunities to streamline processes, automate repetitive tasks, and leverage emerging technologies to optimize infrastructure operations.
  • Collaboration and Communication:
    • Collaborate and communicate across internal teams, external vendors, and customers to facilitate the seamless integration of data center infrastructure solutions.
    • Serve as a domain expert and point of contact for infrastructure-related inquiries and blocking issues.

Requirements

  • Bachelor's degree (or equivalent experience) in Engineering, Computer Science, Information Technology, or a related field.
  • Minimum 3+ years of overall experience in enterprise and/or hyperscale data centers with continual infrastructure deployment experience, preferably for high density AI/HPC data centers.
  • Working experience in data center operations, or infrastructure management roles, focusing on large-scale data center deployments.
  • Strong technical knowledge and experience in the data center stack - power distribution, liquid cooling, servers, networking, storage and pre-deployment planning.
  • Relevant certif

Skills

Data Center Infrastructure
Power Distribution
Cooling Systems
Network Provisioning
Fiber Optic Cabling
Server Hardware
Storage Systems
Network Architecture
Telemetry Systems
Rack-Scale Compute
Liquid Cooling
Power/Cooling Systems Planning
Deployment Management
Risk Assessment
Vendor Training

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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