Virtualization & Orchestration Engineer

<h3>What You'll Do</h3> - 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 enable GPU capacity to be allocated, scaled, and reclaimed efficiently across multiple tenants. - Design solutions for workload placement, resource management, and cluster lifecycle operations. - Partner closely with hardware, networking, infrastructure, and AI platform teams to ensure orchestration systems align with real-world cluster architectures and constraints. - Improve the reliability, security, scalability, and operational maturity of the orchestration platform. - Build tooling and automation that simplifies infrastructure management and improves developer and customer experiences. - Contribute to architectural decisions, engineering standards, and best practices as the platform evolves. <h3>What We're Looking For</h3> - 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. - Comfortable working in a fast-moving environment where architecture and processes are being established. <h3>Preferred Qualifications</h3> - 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. <h3>Compensation</h3> - Competitive base pay for Bellevue market - Certain roles are eligible for additional rewards, including merit increases, annual bonus, and long term incentives. These awards are allocated based on individual performance - U.S. based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, employees also receive per calendar year, paid holidays <h3>Location</h3> - Hybrid role based in the Bellevue, WA area. - Approximately three days per week in the office. - Candidates elsewhere in the U.S. who are open to relocation are encouraged to apply. - U.S. work authorization is required. Visa sponsorship is not currently available. <h3>Why Join?</h3> - Build the orchestration platform powering one of the industry's most advanced AI infrastructure environments. - Work directly on GPU clusters, Kubernetes platforms, and large-scale distributed systems. - Solve complex infrastructure challenges across virtualization, scheduling, resource management, and automation. - Join early enough to influence architecture, engineering practices, and platform strategy. - Collaborate with a highly experienced team building the foundation for next-generation AI applications. - Enjoy the ownership and technical impact of a startup environment backed by significant long-term investment.