Solutions Architect, AI Factory Infrastructure

🕒 Yesterday

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers • Be a technical specialist on NVIDIA products, directly supporting sales account managers to secure build wins • Actively establish and cultivate technical relationships with engineers, management, and architects at key customer accounts • Provide on-site support to solve hardware and software problems, with a focus on deep learning inference • Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction • Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site • Offer technical and sales training to direct sales teams and channel partners.

🎯 Requirements

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience) • 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM) • 5+ years of working experience with Kubernetes, Slurm, Docker, etc. • Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus • Remarkable talent for effectively handling multiple initiatives and priorities • Strong time-management and communication skills for coordinating complex projects • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

🏖️ Benefits

• equity • benefits

Apply Now

Similar Jobs

🕒 Yesterday

ICF

5001 - 10000

☁️ SaaS

⚡ Energy

MuleSoft Developer building integration solutions on the MuleSoft Anypoint Platform for Federal projects, collaborating with stakeholders and development teams in a remote setting.

Java

🕒 Yesterday

New Era Technology

1001 - 5000

🔒 Cybersecurity

📡 Telecommunications

🏢 Enterprise

Solutions Architect designing and implementing data center and cloud solutions for New Era Technology. Collaborating with customers and internal teams to deliver innovative technology solutions.

AWS

Azure

Cloud

Firewalls

VMware

🕒 Yesterday

EverOps

51 - 200

🤝 B2B

🏢 Enterprise

☁️ SaaS

Okta IAM Integration Engineer managing high-volume SaaS integrations for EverOps. Collaborating with non-technical stakeholders to ensure seamless identity management processes.

Terraform

🕒 Yesterday

LaunchDarkly

201 - 500

☁️ SaaS

🏢 Enterprise

Solutions Architect specializing in AI adoption and operationalization, guiding customers in AI integration using LaunchDarkly. Collaborating across teams to enhance software delivery and governance practices.

AWS

Azure

Cloud

Google Cloud Platform

Java

JavaScript

Linux

Node.js

Python

SDLC

Go

🕒 Yesterday

Reality Defender (YC W22)

11 - 50

🔐 Security

📱 Media

Senior Software Engineer developing enterprise integrations for cybersecurity company Reality Defender. Collaborating with clients and internal teams to deliver secure and scalable solutions.

AWS

Cloud

Python