NIM Solution Architect
Core
Design, implement, and optimize NVIDIA Inference Microservices (NIM) for enterprise LLM, VLM, and generative AI workloads across on-prem, cloud, and hybrid environments.
Role type
Senior Solution Architect (AI Inference & Model Optimization)
Builds
Containerized NIM microservices, optimized inference pipelines, and technical demos for enterprise clients.
Domain
AI Infrastructure / Generative AI / High-Performance Computing
Deliverable
production ML models
Required skills
NIM microservices deployment, LLM/VLM inference optimization, distributed GPU training, PyTorch, transformer architecture tuning, rollout sampling strategies, model evaluation
Preferred skills
RL rollout frameworks (SLIME, Nemo-RL), programmatic verification/simulators, enterprise AI deployment, agent systems
Technologies
NVIDIA NIM, PyTorch, Python, GPU clusters
Responsibilities
Package and serve open-source and proprietary models via standardized APIs, tune NIM models for high-volume inference, deliver technical projects and client support, collaborate on expanding the AI solutions portfolio
Seniority
Senior, hands-on IC