Foundation Model Solutions Architect for Partners

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA Corporation seeks an exceptional Solutions Architect, Foundation Models to join a growing partner enablement team focused on reasoning and multimodal models, plus production inference. You will act as a strategic technical expert and hands-on advisor to help partners build, benchmark, fine-tune, optimize, and deploy foundation model solutions for customer workloads.

The role requires MSc/PhD (or equivalent) and 5+ years of experience with LLMs, VLMs, and large-scale inference, plus strong

Qualifications

• Must have MSc/PhD in CS, EE, ML or related fields (or equivalent).
• 5+ years with LLMs, VLMs, and large-scale inference systems; hands-on in fine-tuning, benchmarking, evaluation, optimization, deployment.

Responsibilities

• Serve as lead technical advisor for partners delivering reasoning, multimodal, fine-tuning, and model-serving solutions.
• Guide partners on approaches for workloads including fine-tuning, distillation, quantization, benchmarking, and evaluation.
• Define benchmark plans, synthetic data and evaluation workflows, and repeatable validation recipes.
• Advise on compute planning, including cluster sizing, GPUs, networking, storage, and production-readiness testing.
• Guide inference architecture across prefill/decode tradeoffs, batching, routing, and serving efficiency.
• Develop reference architectures, playbooks, benchmark recipes, and sizing models across CUDA, NeMo, and TensorRT-LLM.

Skills

Python

PyTorch

JAX

TensorFlow

LLMs

Benchmarking

System design

Communication

Education

MSc or PhD in CS/EE/ML

Equivalent experience

Tools

Nemotron

NeMo

Dynamo

TensorRT-LLM

Triton

NIMs

CUDA

vLLM

Job description

NVIDIA Corporation seeks an exceptional Solutions Architect, Foundation Models to join a growing partner enablement team focused on reasoning and multimodal models, plus production inference. You will act as a strategic technical expert and hands-on advisor to help partners build, benchmark, fine-tune, optimize, and deploy foundation model solutions for customer workloads.

The role requires MSc/PhD (or equivalent) and 5+ years of experience with LLMs, VLMs, and large-scale inference, plus strong