Software Engineer
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.
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)
Preferred Qualifications
- 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