Senior AI Infrastructure Engineer - GPU Compute

Unchain Data; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Unchain Data is seeking an experienced engineer to own GPU and accelerator clusters, crucial for AI workloads. You will work closely with teams to build efficient and reliable AI infrastructure while optimizing performance and cost. Ideal candidates will have significant experience in infrastructure engineering, production environments, and a proficiency in Python.

Join a high-impact team dedicated to advancing AI capabilities in a fast-paced, innovative environment.

Qualifications

• 5+ years of experience with GPU clusters or accelerator-backed infrastructure.
• Hands-on experience with scheduling, orchestration, and cost optimization.
• Strong fundamentals in Linux, networking, and storage.

Responsibilities

• Own and operate GPU and accelerator clusters.
• Design infrastructure for running models locally on GPUs.
• Partner with ML engineers to optimize training and inference workflows.

Skills

Infrastructure engineering experience

GPU compute

Machine Learning infrastructure

High-performance computing

Python proficiency

Systems engineering fundamentals

Distributed systems

Production debugging

Tools

Kubernetes

TensorRT

Triton Inference Server

CUDA

Job description

Unchain Data is seeking an experienced engineer to own GPU and accelerator clusters, crucial for AI workloads. You will work closely with teams to build efficient and reliable AI infrastructure while optimizing performance and cost. Ideal candidates will have significant experience in infrastructure engineering, production environments, and a proficiency in Python.

Join a high-impact team dedicated to advancing AI capabilities in a fast-paced, innovative environment.