Software Engineer (Back-end)

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 Software Engineer (Back-end) 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

What We Offer

Stock Options

100% paid Medical, Dental, and Vision insurance for Employees

Company Health Savings Account Contributions

100% paid Short Term and Long Term Disability Insurance for Employees

Life and Voluntary Supplemental Insurance Options

Other Insurance Options, such as Pet & Legal Insurance

Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

Flexible Spending Account

401(k)

Employee Assistance Program

Flexible PTO

Paid Holidays

Parental Leave

Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.