Senior Software Engineer
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About the role
We're looking for a Senior Software Engineer to join our platform team during an exciting phase of growth. In this role, you'll own the end-to-end automation of provisioning, configuring, and operating large-scale GPU clusters across bare metal, Kubernetes, and Slurm environments. This is a hands-on technical role focused on building the tooling and pipelines that bring hundreds of GPU nodes online reliably and repeatably-working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
Responsibilities
- Build and maintain fully automated pipelines for provisioning bare metal GPU clusters from zero to production
- Automate Slurm and Kubernetes cluster lifecycle-bootstrapping, upgrades, node provisioning, and decommissioning at scale
- Develop and maintain infrastructure for GPU node configuration, including drivers and firmware
- Own cluster validation pipelines, automating health checks and GPU burn-in tests
- Build day-2 operations automation, including node remediation, rolling upgrades, and automated drain/cordon workflows
- Write and maintain runbooks and documentation to enable reliable, repeatable operations
- Own the full observability stack for automation services, provisioning pipelines, and cluster health systems
- Required Experience
- 5+ years in infrastructure engineering or platform engineering
- 3+ years writing production Go
- Deep understanding of Kubernetes internals, including:
- Informers and work queues
- Controller-runtime and client-go
- CRDs, custom controllers, and operators
- Admission webhooks
- Experience building Kubernetes Operators
- Experience building gRPC and REST APIs in Go at production scale
- Familiarity with bare metal infrastructure concepts, including PXE, IPMI, and BMC
- Strong testing discipline across unit, integration, and end-to-end tests
- Proven ownership of observability stacks such as Prometheus, Grafana, OpenTelemetry, and Loki (or similar)
Requirements
- Knowledge of GPU workload infrastructure
- Experience with RoCE networking automation
- Experience with GitOps tools such as ArgoCD
- Experience with CI/CD tools such as GitHub Actions and Argo Workflows
- Experience with Ansible and Terraform
Benefits
Additional Information
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
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Company Intel
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