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Senior Solutions Architect, Generative AI
Summary by AIEngineer.careers
Senior Solutions Architect, Generative AI is a AI Solutions Architect role (full-time). with NVIDIA Corporation. in REMOTE, WA,US, US. Compensation shown: $184K–$288K. Imported listing (source: jobs.nvidia.com). Apply on the employer's site (jobs.nvidia.com).
Imported listing (source: jobs.nvidia.com) · Apply on jobs.nvidia.com
REMOTE · WA,US · US
$184K–$288K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs.nvidia.com
NVIDIA seeks a Senior Solutions Architect for Generative AI to help leading consumer internet companies and frontier labs design and optimize large-scale GPU-based AI infrastructure. The role focuses on accelerating customer workloads, profiling distributed training and inference, and resolving complex system performance issues. This is a remote position requiring up to 20% travel for customer site visits.
Responsibilities
- Collaborate with customers to maximize GPU utilization, workload throughput, reliability, and cost efficiency.
- Design and optimize large-scale AI clusters across compute, networking, storage, scheduling, and observability.
- Profile distributed training and inference workloads to identify bottlenecks across hardware and software stacks.
- Diagnose complex infrastructure issues spanning InfiniBand/RoCE fabrics, RDMA, NCCL, NVLink, and NVSwitch.
- Lead proof-of-concepts, benchmarking, and performance studies for large-scale AI infrastructure.
- Partner with engineering, product, and sales teams to drive customer-focused solutions.
Requirements
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience.
- 6+ years in AI infrastructure, systems engineering, HPC, networking, SRE, or related field.
NVIDIA Corporation
Santa Clara · US · 51530+ employees
NVIDIA Corporation is a global accelerated-computing and semiconductor company. Its GPUs helped drive PC gaming, modern computer graphics, artificial intelligence, data-center computing, robotics, autonomous systems, and visualization; the company now offers full-stack computing platforms at data-center scale.
