HPC/GPU Infrastructure Software Engineer - Member of Technical Staff

Designworks Talent • Bellevue, WA

1d • Hybrid

About The Position

The company is building a next-generation cloud platform for the full lifecycle of artificial intelligence, supporting workloads such as large-scale compute, model training, fine-tuning, inference, and agentic AI applications. The engineering organization is lean, collaborative, and AI-native, combining startup speed and ownership with the resources of an established parent organization.

As a Data Center Software Engineer, you will design, develop, configure, and automate AI infrastructure clusters. Your work begins after servers and racks are installed and covers software deployment, networking, configuration, cluster bring-up, and automation, ensuring the platform is operational and ready for customer workloads. This hybrid role is based in the Bellevue, Washington area, with approximately three days per week in the office.

Requirements

• At least 5 years of experience designing, building, or operating large-scale Linux-based infrastructure.
• Hands-on production experience with Kubernetes, containerization, and distributed systems.
• Experience with infrastructure-as-code and automation tools such as Terraform, Ansible, or similar frameworks.
• Strong experience operating cloud- or data-center-scale infrastructure.
• U.S. work authorization is required; visa sponsorship is not currently available.

Nice To Haves

• Experience with bare-metal provisioning and hardware lifecycle management platforms such as MAAS, Ironic, xCAT, or similar.
• Experience with IPMI, Redfish, PXE boot, and automated operating system deployment at scale.
• Experience managing GPU clusters in data-center or cloud environments.

Responsibilities

• Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage.
• Deploy and optimize Kubernetes, container, and distributed computing platforms.
• Optimize GPU, networking, storage, and system performance for large-scale AI workloads.
• Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks.
• Build reliability, observability, and operational excellence practices for mission-critical infrastructure.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company match
• Paid holidays
• Certain roles may be eligible for merit increases, annual bonus, and long-term incentives based on individual performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed