{"schemaVersion":"jobsearcher.job.v1","id":"a868a1dd5207b77aac0fc581","url":"https://jobsearcher.com/jobs/a868a1dd5207b77aac0fc581","canonicalUrl":"https://jobsearcher.com/jobs/a868a1dd5207b77aac0fc581","title":"Software Engineer (Back-end)","description":"About TensorWave\n\nOur 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.\n\nAbout the role\n\nWe’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.\n\nResponsibilities\n\nBuild and maintain fully automated pipelines for provisioning bare metal GPU clusters from zero to production\n\nAutomate Slurm and Kubernetes cluster lifecycle—bootstrapping, upgrades, node provisioning, and decommissioning at scale\n\nDevelop and maintain infrastructure for GPU node configuration, including drivers and firmware\n\nOwn cluster validation pipelines, automating health checks and GPU burn-in tests\n\nBuild day-2 operations automation, including node remediation, rolling upgrades, and automated drain/cordon workflows\n\nWrite and maintain runbooks and documentation to enable reliable, repeatable operations\n\nOwn the full observability stack for automation services, provisioning pipelines, and cluster health systems\n\nRequired Experience\n\n5+ years in infrastructure engineering or platform engineering\n\n3+ years writing production Go\n\nDeep understanding of Kubernetes internals, including:\n\nInformers and work queues\n\nController-runtime and client-go\n\nCRDs, custom controllers, and operators\n\nAdmission webhooks\n\nExperience building Kubernetes Operators\n\nExperience building gRPC and REST APIs in Go at production scale\n\nFamiliarity with bare metal infrastructure concepts, including PXE, IPMI, and BMC\n\nStrong testing discipline across unit, integration, and end-to-end tests\n\nProven ownership of observability stacks such as Prometheus, Grafana, OpenTelemetry, and Loki (or similar)\n\nPreferred Qualifications\n\nKnowledge of GPU workload infrastructure\n\nExperience with RoCE networking automation\n\nExperience with GitOps tools such as ArgoCD\n\nExperience with CI/CD tools such as GitHub Actions and Argo Workflows\n\nExperience with Ansible and Terraform\n\nWhat We Offer\n\nStock Options\n\n100% paid Medical, Dental, and Vision insurance for Employees\n\nCompany Health Savings Account Contributions\n\n100% paid Short Term and Long Term Disability Insurance for Employees\n\nLife and Voluntary Supplemental Insurance Options\n\nOther Insurance Options, such as Pet & Legal Insurance\n\nVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support\n\nFlexible Spending Account\n\n401(k)\n\nEmployee Assistance Program\n\nFlexible PTO\n\nPaid Holidays\n\nParental Leave\n\nOther In-Office Perks\n\nEqual Employment Opportunity\n\nTensorWave 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.\n\nReasonable Accommodations\n\nTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.\n\nEmployment Eligibility\n\nAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.\n\nBackground Checks\n\nWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.\n\nData Privacy Notice\n\nBy 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.","company":"Tensorwave","rawCompany":"tensorwave","city":"Las Vegas","state":"NV","isRemote":false,"isActive":false,"createdAt":"2026-08-14T15:18:04.556Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer (Back-end)","description":"About TensorWave\n\nOur 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.\n\nAbout the role\n\nWe’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.\n\nResponsibilities\n\nBuild and maintain fully automated pipelines for provisioning bare metal GPU clusters from zero to production\n\nAutomate Slurm and Kubernetes cluster lifecycle—bootstrapping, upgrades, node provisioning, and decommissioning at scale\n\nDevelop and maintain infrastructure for GPU node configuration, including drivers and firmware\n\nOwn cluster validation pipelines, automating health checks and GPU burn-in tests\n\nBuild day-2 operations automation, including node remediation, rolling upgrades, and automated drain/cordon workflows\n\nWrite and maintain runbooks and documentation to enable reliable, repeatable operations\n\nOwn the full observability stack for automation services, provisioning pipelines, and cluster health systems\n\nRequired Experience\n\n5+ years in infrastructure engineering or platform engineering\n\n3+ years writing production Go\n\nDeep understanding of Kubernetes internals, including:\n\nInformers and work queues\n\nController-runtime and client-go\n\nCRDs, custom controllers, and operators\n\nAdmission webhooks\n\nExperience building Kubernetes Operators\n\nExperience building gRPC and REST APIs in Go at production scale\n\nFamiliarity with bare metal infrastructure concepts, including PXE, IPMI, and BMC\n\nStrong testing discipline across unit, integration, and end-to-end tests\n\nProven ownership of observability stacks such as Prometheus, Grafana, OpenTelemetry, and Loki (or similar)\n\nPreferred Qualifications\n\nKnowledge of GPU workload infrastructure\n\nExperience with RoCE networking automation\n\nExperience with GitOps tools such as ArgoCD\n\nExperience with CI/CD tools such as GitHub Actions and Argo Workflows\n\nExperience with Ansible and Terraform\n\nWhat We Offer\n\nStock Options\n\n100% paid Medical, Dental, and Vision insurance for Employees\n\nCompany Health Savings Account Contributions\n\n100% paid Short Term and Long Term Disability Insurance for Employees\n\nLife and Voluntary Supplemental Insurance Options\n\nOther Insurance Options, such as Pet & Legal Insurance\n\nVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support\n\nFlexible Spending Account\n\n401(k)\n\nEmployee Assistance Program\n\nFlexible PTO\n\nPaid Holidays\n\nParental Leave\n\nOther In-Office Perks\n\nEqual Employment Opportunity\n\nTensorWave 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.\n\nReasonable Accommodations\n\nTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.\n\nEmployment Eligibility\n\nAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.\n\nBackground Checks\n\nWhere permitted by law, employment may be contingent upon the successful completion of a job-related background check.\n\nData Privacy Notice\n\nBy 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.","datePosted":"2026-08-14T15:18:04.556Z","dateModified":"2026-08-14T15:18:04.556Z","hiringOrganization":{"@type":"Organization","name":"Tensorwave","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Las Vegas","addressRegion":"NV","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a868a1dd5207b77aac0fc581"},"url":"https://jobsearcher.com/jobs/a868a1dd5207b77aac0fc581"}}