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Senior Solutions Architect, AI Inference
We are looking for an architect that wants to change how the AI inference industry works. With agent adoption taking off and GPUs in shortage, NVIDIA has a key part to play in solving the technical challenges that scale token generation on
In inglese
- Company
- NVIDIA
- Location
- US, CA, Santa Clara; US, Remote
- Status
- Open
- Posted
- 2026-08-27T00:00:00+00:00
NVIDIA is hiring a senior solutions architect for its inference service provider team, working with cloud partners that run large GPU fleets. The job is hands-on and customer-facing: building inference recipes with Dynamo, tuning pipelines on TensorRT-LLM, vLLM and SGLang, and advising partners on Kubernetes, compute fabrics and disaggregated serving. It asks for six or more years in solutions architecture, two with AI workloads on Kubernetes, and deep knowledge of KV cache management, speculative decoding and quantization. Reference architectures written here are intended for clusters of 10,000-plus GPUs.
Original job posting