Senior Solutions Architect, AI Factory Infrastructure

NVIDIA

Senior Solutions Architect helping customers optimize AI factory infrastructure and implement workflows. Engaging with technical sales and hybrid cloud architectures for data solutions.

Posted 4/21/2026full-timeRemote • California, North Carolina, Washington • 🇺🇸 United StatesSenior💰 $224,000 - $431,250 per yearWebsite

Tech Stack

Tools & technologies

CloudKubernetesLinuxPython

About the role

Key responsibilities & impact

Help customers with their AI factory journey, including workflow pipelines and performance optimization
Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows
Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines
Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity
Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning
Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

Requirements

What you’ll need

Bachelor's degree or equivalent experience in Engineering or Computer Science
15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise
An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments
Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery
Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries
Mastery of how software and hardware work together to optimize applications
Confident experience with AI workloads, with an emphasis on inference workloads
Ability to work independently with a remote team with minimal direction
Outstanding communication skills, strong interpersonal and be an excellent teammate!

Benefits

Comp & perks

equity
benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI factoryworkflow pipelinesperformance optimizationdata center implementationssynthetic data generationapplication developmenthybrid cloud architecturesinfrastructure managementLinuxPython

Soft Skills

communication skillsinterpersonal skillsteamworkindependenceleadership

Certifications

Bachelor's degree in EngineeringBachelor's degree in Computer Science