Designworks Talent LLC
Designworks Talent LLC
Designworks Talent LLC is a recruitment and talent advisory firm serving high-growth startups and global enterprises. Founded in 2009, the company combines experienced recruiters with AI-enabled tools to support faster, more targeted hiring. Its work spans full-service searches, project-based recruiting, and flexible on-demand models, alongside scalable hiring strategy, recruiting operations, enterprise talent acquisition leadership, data-informed sourcing, and candidate experience. The team’s approach is designed to give organizations adaptable support as their hiring needs evolve.

Senior Virtualization and Orchestration Engineer - Hybrid, Bellevue

Build Kubernetes orchestration, GPU provisioning, and scheduling systems for a multi-tenant AI infrastructure cloud platform. Help operate reliable GPU compute across large-scale data centers.

Description

  • Engineer virtualization infrastructure for GPU-intensive AI and HPC workloads
  • Develop and operate Kubernetes orchestration systems for GPU cluster provisioning and workload scheduling
  • Automate the allocation, scaling, and reclamation of GPU capacity across multiple tenants
  • Create solutions for workload placement, resource management, and cluster lifecycle operations
  • Collaborate with hardware, networking, infrastructure, and AI platform teams
  • Strengthen the orchestration platform’s reliability, security, scalability, and operational maturity
  • Develop tools and automation that simplify infrastructure management and improve developer and customer experiences
  • Help shape architecture, engineering standards, and technical best practices
  • Build the platform layer that enables dependable, large-scale GPU compute for customers of a multi-tenant AI cloud

Requirements

  • Proven hands-on experience running Kubernetes and container orchestration in production
  • Experience designing, building, and operating infrastructure platforms at scale
  • Background in virtualization technologies for cloud, HPC, GPU, or distributed computing environments
  • Understanding of GPU cluster provisioning, workload scheduling, and resource management
  • Working knowledge of Linux infrastructure and distributed systems
  • Ability to take ownership of complex systems from initial design through production operations
  • Comfort working in a fast-moving environment where architecture and processes are still being established
  • Preferred: experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or comparable frameworks
  • Preferred: experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers
  • Preferred: experience building multi-tenant infrastructure for cloud providers or large-scale compute environments
  • Preferred: experience with infrastructure automation, Infrastructure as Code, and platform engineering
  • Preferred: familiarity with high-performance networking and GPU cluster architectures
  • U.S. work authorization required
  • Visa sponsorship is not currently available
  • Ability and willingness to work approximately three days per week in a hybrid office arrangement in Bellevue, Washington

Benefits

  • Some roles may qualify for merit increases, annual bonuses, and long-term incentives tied to individual performance
  • Medical, dental, and vision coverage for U.S.-based employees
  • 401(k) plan with company match
  • Paid holidays throughout the calendar year
  • Hybrid work arrangement

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