AI Infrastructure Engineer | 190k | Fully Remote (US-based)
If you have strong HPC and LLM experience, apply below!
Both of these areas are must-haves for this role.
What's in It for You?
- Join a highly technical environment supporting cutting-edge AI, machine learning, and high-performance computing platforms.
- Play a key role in shaping and scaling enterprise AI infrastructure, including GPU clusters and large-scale model workloads.
- Work alongside data scientists, researchers, and engineering teams on innovative projects with real business impact.
- Work in a highly respected business consulting firm that works with Fortune 500 companies.
Responsibilities
- Act as the LLM specialist on the HPC team, working closely with 4 other HPC engineers.
HPC Responsibilities
- Administer NVIDIA GPU infrastructure and software components, including CUDA, cuDNN, NCCL, and the NVIDIA GPU Operator
- Work with H100/H200 hardware in production environments
- Manage job scheduling through SLURM and other HPC schedulers
- Containerise HPC workloads using Docker and Kubernetes
LLM Specialism
- Design and maintain GPU clusters for high‑demand AI/ML and HPC workloads
- Fine‑tune large models on multi‑GPU clusters
- Perform advanced performance tuning for AI/ML and LLM training workloads
Must-Have Requirements
- Experience within high-performance computing, research, or enterprise environments.
- Experience with Nvidia H200 Chips for HPC workloads
- Hands-on experience with GPU infrastructure
- Experience supporting AI/ML, LLM workloads
Click Below to Apply!
Artificial Intelligence Engineer in United States at Franklin Fitch
This position is listed as full time and able to be worked remotely. It was posted 3 days ago.