[Remote] Senior Solutions Architect - AI Infrastructure Engineer at NVIDIA

Massachusetts, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Research & DevelopmentIndustries

Skills

Key technologies and capabilities for this role

GPU-accelerated computingHigh-performance computing (HPC)Research computing clustersKubernetesSlurmJupyter notebooksSystem monitoring and managementHardware utilization optimizationSoftware orchestration

Questions & Answers

Common questions about this position

What experience level is required for this Solutions Architect role?

The role requires 8+ years of relevant work experience along with a BS/MS/PhD in Engineering, Mathematics, Physical Sciences, or Computer Science (or equivalent).

What key technical skills are needed for this position?

Candidates need strong experience in designing and deploying GPU-accelerated computing infrastructure, in-depth knowledge of cluster orchestration tools like Slurm, Kubernetes, Ansible, and Open OnDemand, experience with container tools such as Docker and Singularity, and expertise in systems monitoring with tools like Prometheus, Grafana, and NVIDIA DCGM.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Solutions Architect position?

Stand out with a background in deploying LLM training and inference workflows, experience with cluster performance benchmarks like MLPerf or HPL, and delivering technical training, workshops, or mentoring on HPC/AI 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