# Senior Solutions Architect, NVIDIA Cloud Partners

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--NVIDIA-Cloud-Partners_JR2020817-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d92f5405-c5d

## Description

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI/HPC GPU infrastructure.

The role involves driving outtake and consumption by integrating libraries, frameworks, models, and software applications. You will deliver GenAI, AI, and ML hardware/software to production with key customers and partners.

**Responsibilities:**

- Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.

- Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.

- Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.

- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

- Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.

- Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

**Requirements:**

- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.

- 10+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.

- Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.

- Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.

- Practical expertise fine-tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.

- Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.

- Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.

- Self-starter with a passion for growth, continuous learning, and sharing insights.

**Preferred Qualifications:**

- Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X.

- Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises/hybrid infrastructure, in particular inference and training workloads.

- Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.

- Proficiency with large-scale AI model training/deployment encompassing GPU systems, performance testing, AI benchmarking, fine-tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).

- Experience working with enterprise developers and strong customer-facing skills.

**Benefits:**

- Equity

- Comprehensive benefits package

## Skills

### Required
- Solution Engineering
- Cloud Engineering
- Solution Architecture
- Deep Learning
- Python
- PyTorch
- TensorFlow
- GPU technologies
- Large-scale cluster environments
- Distributed Cloud architectures

### Nice to have
- NVIDIA GPUs
- NVIDIA software libraries
- AWS
- Azure
- GCP
- NCCL
- DCGM
- UFM
- Mission Control
- Base Command Manager
- SLURM
- K8s
- MLOps
- cluster orchestration

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--NVIDIA-Cloud-Partners_JR2020817-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)