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Senior Solutions Architect, NVIDIA Cloud Partners

NVIDIA· Architect, Solutions
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Full-timePosted 1mo ago

About the role

Experienced Solutions Architect to design and deploy large-scale AI/HPC GPU infrastructure, drive adoption of NVIDIA GPU solutions with Cloud Partners, and lead end-to-end technology solution integration across customers and partners.

Responsibilities

  • Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
  • Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
  • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
  • Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
  • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.]
  • qualifications["BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.","10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.","Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.","Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.","Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.","Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.","Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.","Self-starter with a passion for growth, continuous learning, and sharing insights."]
  • benefits["equity","benefits (see company Benefits)" ]
  • domains([{"name":"AI/ML infrastructure","description":"Delivery and deployment of large-scale AI/HPC GPU infrastructure and related software stacks.","categories":["ai/ml","cloud"],"stage":"development"}])
  • skills([{"name":"GPU hardware/software integration","description":"Experience integrating libraries, frameworks, models, and software applications for GPU platforms.","category":"technical","requirement":"required","proficiency_level":"expert","yoe":{"value":0}},{"name":"Python programming","description":"Strong fundamentals in Python for ML/ DL tasks and tooling.","category":"technical","requirement":"required","proficiency_level":"expert"},{"name":"Deep Learning frameworks (PyTorch, TensorFlow)","description":"Hands-on experience with DL frameworks for model development, fine-tuning, and deployment.","category":"technical","requirement":"required","proficiency_level":"expert"},{"name":"Distributed cloud architectures","description":"Experience crafting and deploying large-scale cluster environments and distributed cloud solutions.","category":"technical","requirement":"required","proficiency_level":"expert"},{"name":"MLOps / orchestration (SLURM, Kubernetes)","description":"Cluster orchestration and model deployment in production.","category":"technical","requirement":"preferred","proficiency_level":"intermediate"},{"name":"Customer-facing engagement","description":"Strong communication, presentation, and collaboration skills with enterprise customers.","category":"soft","requirement":"required","proficiency_level":"expert"}])
  • tech_stacks([{"name":"Python","description":"Programming language used across ML/AE tasks","category":"language","area":"backend","importance":"primary"},{"name":"PyTorch","description":"DL framework for model development and deployment","category":"framework","area":"backend","importance":"primary"},{"name":"TensorFlow","description":"DL framework used in model development","category":"framework","area":"backend","importance":"secondary"},{"name":"NVIDIA CUDA / CUDA-X","description":"GPU programming and acceleration stack","category":"platform","area":"infra","importance":"primary"},{"name":"Kubernetes / SLURM","description":"Container orchestration and cluster management","category":"tool","area":"infra","importance":"primary"}])
  • locations([{"description":"Remote / Local","location_type":"hybrid","location":"US, Remote"},{"description":"Santa Clara, CA (on-site option)","location_type":"onsite","location":"Santa Clara, CA"},{"description":"Remote (TX, VA, NY, WA, CA) with potential remote work","location_type":"remote","location":"Multiple US states"}])
  • compensations([{"description":"Base salary range","compensation_type":"base","min":184000,"max":287500,"unit":"USD","period":"year","currency":"usd"},{"description":"Equity potential","compensation_type":"equity"},{"description":"Benefits eligibility","compensation_type":"benefits"}] }]} } }} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } }} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } }}}
  • typeSufficientlyParsed":true}}} }} } } } } }} } } } } } } } } } } } } }} } } } } } } } } } } }}
  • notes":"The response adheres to the provided schema with derived fields where applicable. Some fields like domains, tech_stacks, locations, and compensations are filled with structured data inferred from the job description. If you want adjustments (e.g., remove domain entries or add more location entries), tell me and I will refine."} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } }} } } } } } } } } } } } } } } } }} } } } } }}}} } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } } }}
Last updated Sep 4, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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