# Solutions Architect, LLM Model Builder

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $95,000–$150,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--LLM-Model-Builder_JR2015831?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b3ceb055-ab0

## Description

We are seeking an outstanding Solutions Architect, Foundation Models to join our growing team focused on partner enablement for reasoning models, multimodal models, and production inference.

In this role, you will act as both a strategic technical expert and a hands-on advisor, helping partners build, benchmark, fine-tune, optimise, and deploy foundation model solutions for customer workloads.

The Partner Solutions Architecture team acts as a trusted advisor to the ecosystem, enabling partners to translate customer requirements into architectures, benchmark recipes, cluster test plans, compute sizing, and production readiness.

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, quantisation, 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 trade-offs, latency and throughput targets, and production-readiness testing.

- Guide inference architecture across prefill and decode trade-offs, 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.

Requirements:

- 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, optimisation, 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 optimisation stacks.

- Strong communication and presentation skills, with the ability to advise both technical teams and executives.

Benefits:

- Highly competitive salaries and a comprehensive benefits package.

- Eligibility for equity and benefits.

Note: This job posting is for an existing vacancy, and applications will be accepted until April 11, 2026.

## Skills

### Required
- Python
- PyTorch
- JAX
- TensorFlow
- CUDA
- NeMo
- Nemotron
- Dynamo
- TensorRT-LLM
- Triton
- vLLM

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--LLM-Model-Builder_JR2015831?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)