Senior Solutions Architect, NVIDIA Cloud Partners

What you'll do

• Collaborate with cloud partners and NVIDIA teams to deliver hardware and software solutions and align technical strategy with customer needs.
• Lead customer engagements across the GPU infrastructure and application lifecycle, including solution design, integration, production, debugging, and proof-of-concepts.
• Develop and deliver customer-facing technical content, including presentations, workshops, reference architectures, and tutorials.

What they ask for

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or another engineering field, or equivalent experience.
• 10+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture, including direct partner and customer experience.
• Experience designing and deploying large-scale clusters and distributed cloud architectures.
• Strong programming, optimization, and software design fundamentals, especially Python and deep learning frameworks such as PyTorch and TensorFlow.

Nice to have

• Practical experience with NVIDIA GPUs, libraries, frameworks, and foundation models.
• Experience with scaled AI cloud environments and on-premises or hybrid infrastructure, particularly inference and training workloads.

Pay

184,000 USD - 287,500 USD (base salary)

Tools

Python, PyTorch, TensorFlow, NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NVIDIA Triton Inference Server, TensorRT

AI focus

Fine-tunes and deploys AI, ML, and foundation models, including LLMs; integrates AI software stacks and delivers inference and training workloads on GPU platforms.