Platform Engineer
Core
Build and run a multi-tenant GPU-as-a-Service platform for AI workloads, managing GPU orchestration, scheduling, and cluster reliability.
Role type
Senior Platform Engineer (GPU Infrastructure)
Builds
GPU-as-a-Service platform, self-service APIs, CLI tools, and portals for GPU provisioning
Domain
Cloud-native infrastructure, AI/ML infrastructure, GPU workloads
Deliverable
infrastructure
Required skills
Kubernetes, Terraform, Ansible, GPU orchestration, workload scheduling, CI/CD pipelines, monitoring and observability, incident response
Preferred skills
GPUaaS or HPC platform experience, PyTorch, TensorFlow, Ray, Kubeflow, Airflow, CUDA, NCCL, cloud certifications
Technologies
Kubernetes, Slurm, Terraform, Ansible, PyTorch, TensorFlow, Ray, Kubeflow, Airflow, CUDA, NCCL
Responsibilities
Develop GPU orchestration and scheduling, manage GPU-enabled Kubernetes clusters, write Infrastructure-as-Code, deliver self-service APIs and tools, create CI/CD pipelines, improve GPU utilization and cost efficiency, own reliability and security
Seniority
Mid-to-Senior, hands-on IC
