# Solutions Architect, Infrastructure

**Company**: NVIDIA
**Location**: Redmond, WA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Redmond/Solutions-Architect--Infrastructure_JR2012776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_142bbe20-458

## Description

NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bring-up of their next-generation Data Center GPUs and networking platforms.

As part of the NVIDIA Solutions Architecture team, you will navigate uncharted technical and organizational spaces , serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large-scale customer deployments.

**Responsibilities:**

- Lead end-to-end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.

- Drive strategic partnership and alignment with Product teams to understand roadmap intent, co-define critical metrics, and ensure unified direction across technical, sales, and leadership organizations.

- Influence without authority across Product, Engineering, Sales, Operations, and CSP customers, driving clarity, alignment, and unblock paths for scale-up.

- Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational risks.

- Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.

- Deliver streamlined executive-level communication on status, risks, progress, and required decisions.

- Collaborate with Product and Engineering, enabling future improvements in platform design, validation, and operational workflows.

**Requirements:**

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

- 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.

- Hands-on experience with bring-up and validation of large-scale NVIDIA GPU platforms, including multi-GPU and multi-node architectures.

- Understanding of high-performance networking technologies (e.g., RDMA, congestion control, high-bandwidth interconnects) and their role in distributed AI workloads.

- Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.

- Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, container-level tooling, and related utilities.

- Understanding of server hardware architecture, including PCIe topologies, system firmware, NUMA, BIOS/UEFI configuration, power/thermal envelopes, and memory/subsystem behavior.

- Understanding of BMC/IPMI/Redfish for remote management, hardware health monitoring, and out-of-band debugging during early-stage bring-up.

- Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and node-level performance analysis.

- Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer.

**Benefits:**

- Equity

- Benefits

## Skills

### Required
- Solutions Architecture
- Infrastructure Engineering
- GPU platforms
- high-performance networking
- Linux systems
- server hardware architecture

### Nice to have
- Compute and networking infrastructure
- modern deep learning
- LLM architectures
- distributed training/inference challenges

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-WA-Redmond/Solutions-Architect--Infrastructure_JR2012776?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)