Scan your resume against ATS criteria for this Software Engineer (Back-end) role at 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.
We’re looking for a
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 reliably and repeatably—working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
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
5+ years in infrastructure engineering or platform engineering
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)
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
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
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.
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
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.
visioning, 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 reliably and repeatably—working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
How to apply for Software Engineer (Back-end) at Tensorwave?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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