Solutions Architect, LLM Model Builder
NVIDIA· Architect, Solutions
Santa Clara, CA$152k - $241.5kfull-timePosted 6mo ago
About the role
Solutions Architect focusing on partner enablement for reasoning models, multimodal models, and production inference. Acts 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.
Responsibilities
- Serve as the lead technical advisor for partners delivering reasoning, multimodal, fine-tuning, and model-serving solutions.
- Guide partners to the right approach for customer workloads across fine-tuning, distillation, quantization, compression, benchmarking, and evaluation.
- Define benchmark plans, synthetic data and evaluation workflows, and repeatable validation recipes.
- Advise on compute planning, including cluster sizing, GPU and network selection, storage, memory tradeoffs, latency and throughput targets, and production-readiness testing.
- Guide inference architecture across prefill and decode tradeoffs, batching, routing, disaggregated inference, and serving efficiency.
- Develop reference architectures, playbooks, benchmark recipes, TCO calculators, and sizing models across CUDA, NeMo, Nemotron, Dynamo, TensorRT-LLM, Triton, NIMs, and related tooling.
- Support pre- and post-sales engagements by translating complex model and infrastructure topics for partner and customer teams.
Qualifications
- MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
- 5+ years of relevant experience working with LLMs, VLMs, and large-scale inference systems, with hands-on expertise in fine-tuning, benchmarking, evaluation, optimization, and production deployment as a Research Engineer, Deep Learning Engineer, or equivalent.
- Strong understanding of foundation models across data preparation, fine-tuning, post-training, evaluation, and inference.
- Familiarity with reasoning models, reinforcement learning, and synthetic data generation and evaluation workflows.
- Strong programming skills in Python and hands-on experience with PyTorch, JAX, or TensorFlow.
- Familiarity with Nemotron, NeMo, Dynamo, TensorRT-LLM, Triton, vLLM, and similar inference and optimization stacks.
- Strong communication and presentation skills, with the ability to advise both technical teams and executives.
Skills
Required:PythonPyTorchFoundation Models
Nice to have:JAXTensorFlow
Benefits
- Equity and comprehensive benefits package.
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
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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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