Generative AI Solutions Architect — Remote & Equity

NVIDIA; Washington (Washington County); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Remote work option

Job summary

NVIDIA seeks an AI Solutions Architect in the United States to design, deploy, and optimize large-scale AI infrastructure and GPU clusters. You will lead technical engagements, accelerate customer workloads, and collaborate with engineering and sales to deliver cutting-edge NVIDIA solutions.

You will work with InfiniBand, RoCE, NCCL, and NVLink technologies, profiling workloads, improving throughput, and ensuring reliability across on-prem and cloud environments.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or another Engineering field, or equivalent experience.
• 6+ years of experience in AI infrastructure, systems engineering, high-performance computing, networking, site reliability engineering, or a related technical role.
• Deep understanding of Linux systems, distributed computing, GPU architectures, and the hardware and software components of large-scale AI clusters.
• Hands-on experience designing, deploying, operating, or troubleshooting high-performance GPU networks in on-premises or cloud environments using InfiniBand, RoCE, or GPUDirect RDMA.
• Experience debugging NCCL communication and distributed collective performance, including topology, transport, congestion, routing, and host-level configuration issues.
• Experience profiling AI workloads and identifying performance bottlenecks across compute, networking, storage, and orchestration layers.
• Experience with cluster schedulers and orchestration platforms such as Kubernetes and Slurm, along with containers and production monitoring systems.
• Proficiency with Python, shell scripting, or similar languages for infrastructure automation, benchmarking, and systems troubleshooting.

Responsibilities

• Collaborating closely with customers to maximize GPU utilization and end-to-end workload throughput while improving infrastructure reliability and reducing infrastructure costs.
• Designing and optimizing large-scale AI clusters across GPU compute, high-performance networking, storage, workload scheduling, orchestration, and observability.
• Profiling distributed training and inference workloads to identify bottlenecks across GPUs, CPUs, memory, network fabrics, storage systems, and software stack.
• Diagnosing complex infrastructure and distributed systems issues spanning InfiniBand and RoCE fabrics, cloud interconnects, RDMA, NCCL, NVLink, and NVSwitch.
• Leading proof-of-concepts and performance studies for large-scale AI infrastructure, developing benchmarking tools, automation, runbooks, and technical collateral as needed.
• Partnering with NVIDIA’s engineering, product, and sales teams to secure design wins and drive innovative solutions based on customer requirements and field feedback.

Skills

Linux systems

Distributed computing

GPU architectures

Python

Shell scripting

NCCL

Kubernetes

Slurm

Education

BS/MS/PhD in CS/Engineering/Physics/Math or equivalent

Tools

NCCL

GPUDirect RDMA

InfiniBand

RoCE

Kubernetes

Slurm

Job description

NVIDIA seeks an AI Solutions Architect in the United States to design, deploy, and optimize large-scale AI infrastructure and GPU clusters. You will lead technical engagements, accelerate customer workloads, and collaborate with engineering and sales to deliver cutting-edge NVIDIA solutions.

You will work with InfiniBand, RoCE, NCCL, and NVLink technologies, profiling workloads, improving throughput, and ensuring reliability across on-prem and cloud environments.