HPC & Cloud Systems Engineer: GPU Clusters (Hybrid)

Pittsburgh Tomorrow; Pittsburgh (Allegheny County); Hybrid; USD 250,000 - 800,000; Full time

Job summary

Life in Pittsburgh seeks a Systems Engineer to architect and operate large Linux clusters, scale GPU resources, and build data infrastructure for computational drug discovery. You will manage petabyte-scale storage, configure high-performance networks, and deploy cloud and Kubernetes solutions to support researchers and software agents.

The role emphasizes collaboration across teams and flexibility to work with cutting-edge HPC and data-center technologies in a hybrid setting.

Qualifications

• Experience managing large-scale Linux/HPC environments and distributed systems.
• Ability to design and operate complex data infrastructure for researchers.
• Familiarity with Kubernetes and cloud-based deployments preferred.

Responsibilities

• Architect and operate Linux clusters ranging from thousands to tens of thousands of CPU cores and custom supercomputers.
• Scale and maintain GPU clusters containing hundreds of GPUs.
• Build and manage a storage environment holding tens of petabytes.
• Design and support high-performance RDMA fabrics and wide-area networks.
• Deploy Kubernetes-powered applications and administer public cloud environments.
• Own the identity management infrastructure governing access across systems.
• Develop systems software to tie the environment together securely.

Skills

Linux administration

Networking

File systems

Processes

Python programming

Distributed systems

Kubernetes

HPC systems engineering

Systems software development

Data center infrastructure

Tools

RDMA fabrics

Public cloud environments

Petabyte-scale storage

Job description

Life in Pittsburgh seeks a Systems Engineer to architect and operate large Linux clusters, scale GPU resources, and build data infrastructure for computational drug discovery. You will manage petabyte-scale storage, configure high-performance networks, and deploy cloud and Kubernetes solutions to support researchers and software agents.

The role emphasizes collaboration across teams and flexibility to work with cutting-edge HPC and data-center technologies in a hybrid setting.