Solutions Architect, AI Factory Infrastructure

California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Computer Graphics, Artificial Intelligence, Accelerated Computing, Data CenterIndustries

Requirements

Candidates should possess a passion for IT infrastructures that optimize AI workloads, with expertise in infrastructure management including Linux, KVM hypervisor, Kubernetes, Ethernet networking, and cloud-native tooling. A strong understanding of how software and hardware interact for application optimization, particularly GPU architecture, is essential. The role requires at least 2 years of relevant work experience in IT infrastructure or a related field, a Bachelor's degree or equivalent in Engineering or Computer Science, and excellent communication and teamwork skills. Experience with on-prem infrastructure architecture, big cloud deployments, cloud-native tooling like Terraform and Helm, building large-scale containerized infrastructure, and hybrid/cloud environments is highly advantageous.

Responsibilities

The Solutions Architect will guide customers through their AI Factory journey, focusing on workflow pipelines and performance optimization, with a specialization in data center implementations for inference use cases. They will architect physical AI solutions using NVIDIA technologies like Omniverse, COSMOS, and MEGA, covering data aggregation, application development, synthetic data generation, and simulation pipelines. This role involves leading technical sales activities for AI Factories, delivering hybrid cloud architectures for data pipelines, storage, security, and user streaming, and providing expertise in hardware infrastructure workflows including server design, GPU architecture, and networking technologies like Ethernet and Infiniband. Additionally, the architect will offer expertise in full-stack infrastructure, workload orchestration, and application tuning across bare metal, virtual machines, and containers, advising enterprise customers on optimal architecture and technical execution by understanding solution trade-offs.

Skills

Accelerated Computing

Data Center Infrastructure

Omniverse

COSMOS

MEGA

Workflow Pipelines

Performance Optimization

Inference

Training

Physical AI Solutions

Data Aggregation

Application Development

Synthetic Data Generation

Simulation Pipelines

Technical Sales

Hybrid Cloud Architectures

Data Pipelines

Storage

Security

User Streaming Connectivity

Hardware Infrastructure

Server Design

GPU Architecture

Ethernet

Infiniband

NVLink Networking

Full Stack Infrastructure

Workload Orchestration

Application Tuning

Bare Metal

Virtual Machines

Containers

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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