Virtualization & Orchestration Engineer - Member of Technical Staff

Designworks Talent • Bellevue, WA

3d • Hybrid

About The Position

This is a foundational engineering role building the platform layer that enables customers to reliably consume GPU compute at scale. The engineer will design and operate virtualization, Kubernetes, provisioning, and orchestration systems that support large-scale AI workloads across next-generation data center infrastructure.

The role works across virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing. It involves solving challenges in workload scheduling, resource allocation, cluster management, and infrastructure automation, while owning critical systems from design through production operation. The position is hybrid and based in the Bellevue, Washington area, with approximately three days per week in the office. Candidates elsewhere in the United States who are open to relocation are encouraged to apply. U.S. work authorization is required; visa sponsorship is not currently available.

Requirements

• Strong hands-on experience with Kubernetes and container orchestration in production environments.
• Experience designing, building, and operating large-scale infrastructure platforms.
• Background with virtualization technologies supporting cloud, HPC, GPU, or distributed computing environments.
• Understanding of GPU cluster provisioning, workload scheduling, and resource management.
• Experience with Linux-based infrastructure and distributed systems concepts.
• Ability to independently own complex systems from design through production operation.
• Comfort working in a fast-moving environment where architecture and processes are being established.
• U.S. work authorization is required.

Nice To Haves

• Experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks.
• Experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers.
• Background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments.
• Experience with infrastructure automation, Infrastructure as Code, and platform engineering practices.
• Familiarity with high-performance networking and GPU cluster architectures.

Responsibilities

• Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads.
• Develop and operate Kubernetes-based orchestration systems for GPU cluster provisioning and workload scheduling.
• Build automated provisioning systems that allocate, scale, and reclaim GPU capacity efficiently across multiple tenants.
• Design solutions for workload placement, resource management, and cluster lifecycle operations.
• Partner with hardware, networking, infrastructure, and AI platform teams to align orchestration systems with cluster architectures and constraints.
• Improve the reliability, security, scalability, and operational maturity of the orchestration platform.
• Build tooling and automation that simplify infrastructure management and improve developer and customer experiences.
• Contribute to architectural decisions, engineering standards, and best practices as the platform evolves.

Benefits

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

What This Job Offers

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