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.