AI Optimization Engineer: GPU-HPC & LLMs; Hybrid
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Software Development
Job Description & How to Apply Below
Simple Solutions is seeking an AI Optimization Engineer to optimize, deploy, and manage ML/LLMs on GPU-accelerated HPC infrastructure. The role emphasizes Python-based ML, DL frameworks, and scalable AI systems, working with AI, infra, and Dev Ops teams to design efficient training and inference pipelines.
Responsibilities include SLURM-based workload orchestration, containerized ML solutions, model optimization (pruning, quantization, distillation), and monitoring with Prometheus and Grafana.
The AI Optimization Engineer: GPU-HPC & LLMs (Hybrid) role at Simple Solutions is now open for applications in Jersey City, NJ, United States.
This posting is for the AI Optimization Engineer: GPU-HPC & LLMs (Hybrid) role at Simple Solutions, based in Jersey City, NJ, United States.
We are looking to fill the AI Optimization Engineer: GPU-HPC & LLMs (Hybrid) position at Simple Solutions in Jersey City, NJ, United States.
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