Senior Solutions Architect, NPN at NVIDIA

Durham, North Carolina, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance Computing, TechnologyIndustries

Requirements

BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience)
Established track record working with AI and HPC clusters, both on-premises and cloud based
4+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible
Hands-on experience with network, storage, cluster configuration and debugging
Strong analytical and problem-solving skills, along with an ability to articulate what you know to others
Ability to multitask efficiently in a dynamic environment

Responsibilities

Guide partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks
Use cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories
Deliver demos, assist with proof-of-concepts, or write papers and developer blogs to share knowledge
Collaborate with executives and engineering to solve complex problems and bring NVIDIA's premiere technologies to life in the cloud and in the datacenter
Work closely with customers and partners to address unsolved problems in the industry and help deploy and operationalize AI solutions at scale

Skills

Key technologies and capabilities for this role

AIHPCDockerSlurmKubernetesAnsibleNetworkingStorageCluster ManagementCloud Native

Questions & Answers

Common questions about this position

What is the base salary for this Senior Solutions Architect role?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS, MS, or PhD in Engineering, Computer Science, or related field, established track record with AI and HPC clusters on-premises and cloud, 4+ years with cluster management tools like Docker, Slurm, Kubernetes, Ansible, hands-on experience with network, storage, cluster configuration and debugging, strong analytical and problem-solving skills, and ability to multitask.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hardworking people, values creative and autonomous individuals, and the team focuses on revolutionizing AI with data center scale solutions, solving complex unsolved problems, and collaborating closely with customers, partners, executives, and engineering.

How can I stand out as a candidate for this position?

Stand out with strong channel sales knowledge and partner co-selling experience, strong coding skills in Python, C/C++, Bash, Linux utilities, demonstrated expertise through projects or Open Source contributions in GPU workloads, Kubernetes, InfiniBand, Ethernet, high-performance clusters, hybrid cloud solutions, hands-on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai, NVIDIA NIMs, and willingness to learn quickly.

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