# Senior Solutions Architect, AI Infrastructure

**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--AI-Infrastructure_JR2021235?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_24b8ed25-e72

## Description

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. You will be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers.

As part of the NVIDIA SA organization, you will drive deployment of end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers. You will also offer recommendations to business and engineering teams on the product roadmap.

**Responsibilities:**

- Work with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer.

- Guide customer discussions on network design, compute/storage, and support bring up of server/network/cluster deployments.

- Visit customer data centers during the bring-up phase.

- Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers.

- Bring customer-specific requirements to product teams to guide product roadmap features.

- Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.

- Work closely with the GPU/Network Systems Engineering, Product management, and Sales teams.

- Conduct regular technical customer meetings for product roadmap, cluster issues debug, feature discussions, and introduction to new technology solutions.

- Build custom product demonstrations and POCs for solutions that address critical business needs of customers.

- Analyze and debug compute/network configuration, performance issues to deliver performant clusters.

**Requirements:**

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

- 6+ years of Systems/Solution Engineering (or similar Engineering roles) experience.

- System-level expertise of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.

- Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling).

- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes.

- Effective time management and capable of balancing multiple tasks.

- Strong verbal/written communication skills and share ideas/code clearly through documents, presentations, etc.

**Benefits:**

- Equity

- Benefits

**Optional Requirements:**

- External customer-facing background

- Experience with bringup and deployment of large clusters

- Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel, and drivers

- Hands-on experience with NVIDIA GPU systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., NICs, RoCE, InfiniBand), and/or ARM CPU solutions

- Familiarity with virtualization technology concepts

## Skills

### Required
- GPU server architecture
- networking systems
- Linux
- system software
- kernel drivers
- DevOps
- MLOps
- Docker
- Kubernetes
- C/C++
- communication skills

### Nice to have
- external customer-facing background
- large cluster deployment
- systems engineering
- coding
- debugging
- NVIDIA GPU systems
- SDKs
- CUDA
- NVIDIA Networking technologies
- ARM CPU solutions
- virtualization technology concepts

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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--AI-Infrastructure_JR2021235?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)