# Senior Solutions Architect, Generative AI Deployment and AIOps

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/eb24901d-e58d-49ab-8b3b-48fe2623b706

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 184000 – 287500 USD per year

## Summary

NVIDIA is looking for an experienced AI architect to help customers deploy generative AI solutions on their GPU infrastructure, focusing on large language model inference optimization and MLOps. This role suits someone with deep expertise in GPU technologies, containerized AI workloads, and a track record of translating complex AI systems into production platforms.

_Our summary, not NVIDIA's wording._

## Skills named

C++, Docker, Kubernetes, Python, PyTorch, TensorFlow

## Required

- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 8+ years hands-on experience with Deep Learning frameworks
- Strong Python programming and optimization skills
- GPU orchestration and Kubernetes proficiency
- Containerization and orchestration technologies experience
- LLM and Deep Learning inference knowledge

## Nice to have

- Deep Learning training at scale or production inference deployment experience
- Experience with NVIDIA GPU software libraries (NIM, Dynamo, TensorRT, TensorRT-LLM)
- C/C++ programming with debugging and performance analysis skills
- Parallel programming and distributed computing experience

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Solutions-Architect--Generative-AI-Deployment-and-AIOps_JR2015676