Compute Infra Specialist
Role Overview
We’re looking for a highly operational, technically savvy Compute Infra Specialist to help manage and scale the infrastructure that powers our AI workloads and customer deployments. This person will sit at the intersection of engineering, operations, and customer delivery, helping ensure GPU resources are efficiently allocated, deployments run smoothly, and customers have a strong experience using our infrastructure.
This is a hands-on role for someone who enjoys solving infrastructure problems, coordinating across teams, and working directly with cutting-edge AI systems.
Responsibilities
Manage and track GPU/compute inventory across internal and customer environments
Coordinate infrastructure provisioning for customer deployments and internal research workloads
Monitor utilization, capacity, uptime, and cost efficiency across compute environments
Work cross-functionally with Engineering, Research, Product, and GTM teams on deployment readiness and customer needs
Support customer onboarding and infrastructure troubleshooting alongside Solutions and Customer Success teams
Maintain documentation around infrastructure processes, environments, and deployment standards
Help improve operational workflows around provisioning, monitoring, escalation management, and forecasting
Partner with vendors and cloud providers as needed
Assist with infrastructure planning related to scaling customer demand and new product launches
Qualifications
Experience working with cloud infrastructure, GPU environments, or AI/ML infrastructure operations
Familiarity with Kubernetes, Linux environments, containerization, or cloud platforms (AWS/GCP/Azure)
Strong operational and project management instincts
Comfortable working cross-functionally in a fast-moving startup environment
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
Strong organizational skills and attention to detail
Nice to Have
Experience supporting AI/ML workloads or model deployment infrastructure
Experience working directly with enterprise customers
Startup experience