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Senior Solutions Architect, AI Factory Infrastructure
NVIDIA. Help customers with their AI factory journey, including workflow pipelines and performance optimization .
Posted 4/21/2026full-timeRemote • California, North Carolina, Washington • 🇺🇸 United StatesSenior💰 $224,000 - $431,250 per yearWebsite
Tech Stack
Tools & technologiesCloudKubernetesLinuxPython
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
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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