Solutions Architect, NPN

Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, Cloud Computing, Data CenterIndustries

Requirements

Candidates should possess a BS, MS, or PhD in Engineering, Computer Science, or a related field, or equivalent experience. A proven track record with AI and HPC clusters, both on-premises and cloud-based, is required, along with 5+ years of experience in cluster management tools such as Docker Containers, Slurm, Kubernetes, and Ansible. Hands-on experience with network, storage, and cluster configuration and debugging is essential, as are strong analytical and problem-solving skills, the ability to articulate knowledge clearly, and proficiency in multitasking in a dynamic environment. Stand-out qualifications include strong channel sales knowledge, partner co-selling experience, coding and debugging skills in Python, C/C++, Bash, and Linux utilities, and demonstrated expertise with GPU workloads, Kubernetes, InfiniBand, Ethernet, or hybrid cloud solutions. Hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai, and NVIDIA NIMs is also highly desirable.

Responsibilities

The Solutions Architect will guide partners in adopting end-to-end Agentic AI solutions, leveraging NVIDIA's compute, networking, and software stacks. Responsibilities include utilizing cloud-native methodologies, low-latency networks, and accelerated compute to build AI factories, delivering demos, assisting with proof-of-concepts, and writing technical papers and developer blogs. Collaboration with executives and engineering teams to solve complex problems and deploy NVIDIA's technologies in cloud and datacenter environments is a key aspect of the role.

Skills

HPC

Data Center Solutions

Cloud Native Methodologies

Low Latency Networks

Accelerated Compute

Docker Containers

Slurm

Kubernetes

Ansible

Network Configuration

Storage Configuration

Cluster Debugging

Analytical Skills

Problem-Solving

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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