Senior Solutions Architect – Enterprise AI Factories

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Act as a reliable advisor by aligning intricate customer workloads with NVIDIA’s technology ecosystem.

• Collaborate in designing scalable architectures alongside NVIDIA integration partners, select OEMs, and end clients.

• Establish technical direction, integration milestones, and deployment strategies.

• Create, validate, and provide hands-on support for customer solutions.

• Recognize discrepancies between customer and partner requirements and NVIDIA solutions.

• Convey insights that influence internal product and engineering focus.

• Lead technical interactions and assist clients in resolving complex challenges.

• Promote technical enablement and the adoption of NVIDIA SDKs, frameworks, and systems.

• Collaborate with engineering and product teams to ensure successful deployment and ongoing enhancement.

• Develop and disseminate knowledge and infrastructure insights for NVIDIA platforms.

• Customize on-premises solutions to fit specific environments and workloads while managing risk, performance, and supportability.

• Assist NVIDIA partners, OEMs, developers, enterprises, and customers in adopting and scaling AI Factory platforms.

⛳️ Requirements

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.

• Over 5 years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.

• 3–5+ years of direct, hands-on experience with compute, networking, and storage hardware and software platforms.

• Extensive technical knowledge in system management software, operating systems, system firmware, and large-scale hardware infrastructure.

• Proven history of driving product integrations and contributing to software and hardware platforms, systems, and libraries.

• Capability to articulate complex technical concepts to both technical and non-technical audiences, from engineers to C-level executives.

• Strong analytical and problem-solving abilities coupled with a keen intellectual curiosity.

• Practical experience in deploying, utilizing, and operating on-premises AI-centric solutions.

• Familiarity with system architectures, rack-scale firmware, cluster management software, workload management software, and related hardware.

• Experience with cluster management tools, such as NVIDIA Base Command Manager and MaaS.

• Knowledge of workload orchestration software like Slurm and Kubernetes.

• Working knowledge of BMCs, PCIe communication, network topologies, and system/rack-scale hardware.

🏝️ Benefits

• Equity

• Benefits

• Remote work locations

• Occasional travel for local customer visits and industry events