$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
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. The full posting is on their site.
Skills this role names
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What they ask for
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