Infrastructure Research Engineer

Infrastructure Research Engineer

USC/GC only

Location: Remote (must work PST hours)

12- Months Contract

Overview:-

We're seeking a senior engineer to lead GPU computing performance research and AI infrastructure optimization. This role focuses on Kubernetes-based distributed systems, benchmarking, and system tuning to maximize performance across compute, storage, and networking.

Responsibilities

Design, implement, and optimize large-scale infrastructure for AI workloads.

Run GPU/CPU benchmarking and performance analysis; recommend improvements.

Tune servers, GPUs, networking, and databases for efficiency and scalability.

Build and manage containerized environments (Kubernetes, Rancher, Kubeflow).

Write and maintain Python/system scripts for automation and debugging.

Troubleshoot infrastructure issues across servers, GPUs, networks, and storage.

Collaborate with research and engineering teams to meet performance goals.

Work occasional late-night hours to complete critical benchmarking deadlines.

Requirements

10+ years of hands-on experience with Kubernetes, containers, and distributed systems.

5-7 years in infrastructure research and GPU computing performance.

Strong Python and system-level scripting skills.

Deep knowledge of AI infrastructure optimization and debugging.

Experience with benchmarking tools and performance tuning methodologies.

Strong problem-solving skills in fast-paced environments.