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Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers

US, CA, Santa Clara💼 Full-time💰 $184,000–$184,000🗓 2026-05-08 → 2026-09-26

Core

Senior Solutions Architect helping strategic customers build AI/ML and HPC software solutions at scale using NVIDIA technologies.

Role type

Senior Solutions Architect (GPU Performance & LLM)

Builds

End-to-end AI infrastructure solutions, Proof of Concepts (PoCs), and cloud service integrations for hyperscalers.

Domain

AI/ML, High-Performance Computing (HPC), Cloud Infrastructure, GPU Systems

Deliverable

production ML models | product features | client delivery

Required skills

Systems architecture, AI accelerator performance tuning, large-scale LLM training/inference optimization, engineering program management, technical solution design

Preferred skills

Deep Learning frameworks (PyTorch, JAX), compilers (Triton, XLA), NVIDIA libraries (TRTLLM, TensorRT), GPU benchmarking, Cloud deployment (AWS, GCP, Azure, OCI), DevOps/MLOps (Docker, Kubernetes)

Technologies

PyTorch, JAX, Triton, XLA, TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, Docker, Kubernetes, AWS, GCP, Azure, OCI

Responsibilities

Develop and demonstrate AI/HPC solutions with tech giants, partner with Sales and Developer Relations to secure business opportunities, serve as main technical point of contact for complex AI infrastructure projects, conduct technical meetings for performance advice and debugging, build PoCs for cloud service integration, analyze and resolve customer performance issues

Seniority

Senior, hands-on IC

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