TensorWave

Design and develop scalable, high-performance front-end dashboards with advanced state management and data visualization. | 5+ years front-end experience with TypeScript and React, ability to architect complex web applications, strong focus on code quality, testing, and collaboration. | 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 (Front-End), to join our team during an exciting phase of growth. In this role, you'll architect and build TensorWave's customer- and internal-facing dashboards using TypeScript, React, and shadcn/ui, focusing on high-performance state management and data visualization for real-time GPU telemetry. You'll also own frontend code quality and standards while partnering closely with backend engineers and designers to ship fast, accessible interfaces at scale. What You'll Do Architecture & Development • Design and maintain a modular, scalable frontend architecture using TypeScript and React, ensuring consistency across our dashboards • Develop high-performance, reusable component libraries using shadcn/ui to accelerate development and ensure design system integrity • Implement advanced state management and performance patterns to handle complex, real-time GPU telemetry and high-density data visualizations Quality & Integration • Establish and enforce frontend standards, including accessibility (WCAG), automated testing, and comprehensive documentation to maintain a high bar for engineering excellence • Partner with backend engineers to create seamless interfaces between our frontend layer and backend services, ensuring reliable data flow and low-latency interactions Collaboration & Growth • Partner closely with UX/UI designers to translate high-fidelity mocks into intuitive user interfaces • Collaborate with cross-functional teams to align frontend strategy with platform goals • Mentor junior engineers through code reviews, pairing sessions, and knowledge sharing to cultivate a culture of continuous learning and high-quality craftsmanship Who You Are Required Qualifications • 5+ years of experience in front-end engineering with advanced proficiency in TypeScript and React • Proven ability to architect complex, large-scale web applications from the ground up, with a strong focus on component modularity and reusability • Deep understanding of modern browser rendering pipelines, performance profiling, and optimizing high-density data applications • Extensive experience building robust interfaces that interface with RESTful or gRPC APIs, managing asynchronous data flows and complex state • Demonstrated commitment to high-quality code through rigorous automated testing (Unit, Integration, and E2E) and thorough code review practices Preferred Qualifications • Experience building dashboards for HPC, AI, or cloud infrastructure that handle real-time telemetry (WebSockets, streaming APIs) • Hands-on experience with modern component libraries (shadcn/ui, Radix UI) and styling systems (Tailwind CSS) • Familiarity with charting tools (e.g., Recharts, D3.js, Victory) or canvas-based rendering for high-performance visualizations • Exposure to backend technologies (especially Go) or cloud-native monitoring (AWS, Prometheus) to better bridge the gap between frontend and infrastructure What Success Looks Like • You establish a reusable component library and design system that significantly reduces time-to-market for new dashboard features • You deliver intuitive, lightning-fast interfaces that allow customers to extract complex insights from GPU telemetry with ease • You become a technical anchor for the team, consistently raising the bar for engineering standards and proactively mentoring peers • You successfully bridge the frontend and backend, creating a frictionless developer experience that is reliable and scalable 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Design and build scalable front-end dashboards with high-performance state management and collaborate with backend and design teams. | 5+ years front-end experience with TypeScript and React, ability to architect large-scale web apps, strong testing and code quality focus. | 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 (Front-End), to join our team during an exciting phase of growth. In this role, you'll architect and build TensorWave's customer- and internal-facing dashboards using TypeScript, React, and shadcn/ui, focusing on high-performance state management and data visualization for real-time GPU telemetry. You'll also own frontend code quality and standards while partnering closely with backend engineers and designers to ship fast, accessible interfaces at scale. What You’ll Do Architecture & Development • Design and maintain a modular, scalable frontend architecture using TypeScript and React, ensuring consistency across our dashboards • Develop high-performance, reusable component libraries using shadcn/ui to accelerate development and ensure design system integrity • Implement advanced state management and performance patterns to handle complex, real-time GPU telemetry and high-density data visualizations Quality & Integration • Establish and enforce frontend standards, including accessibility (WCAG), automated testing, and comprehensive documentation to maintain a high bar for engineering excellence • Partner with backend engineers to create seamless interfaces between our frontend layer and backend services, ensuring reliable data flow and low-latency interactions Collaboration & Growth • Partner closely with UX/UI designers to translate high-fidelity mocks into intuitive user interfaces • Collaborate with cross-functional teams to align frontend strategy with platform goals • Mentor junior engineers through code reviews, pairing sessions, and knowledge sharing to cultivate a culture of continuous learning and high-quality craftsmanship Who You Are Required Qualifications • 5+ years of experience in front-end engineering with advanced proficiency in TypeScript and React • Proven ability to architect complex, large-scale web applications from the ground up, with a strong focus on component modularity and reusability • Deep understanding of modern browser rendering pipelines, performance profiling, and optimizing high-density data applications • Extensive experience building robust interfaces that interface with RESTful or gRPC APIs, managing asynchronous data flows and complex state • Demonstrated commitment to high-quality code through rigorous automated testing (Unit, Integration, and E2E) and thorough code review practices Preferred Qualifications • Experience building dashboards for HPC, AI, or cloud infrastructure that handle real-time telemetry (WebSockets, streaming APIs) • Hands-on experience with modern component libraries (shadcn/ui, Radix UI) and styling systems (Tailwind CSS) • Familiarity with charting tools (e.g., Recharts, D3.js, Victory) or canvas-based rendering for high-performance visualizations • Exposure to backend technologies (especially Go) or cloud-native monitoring (AWS, Prometheus) to better bridge the gap between frontend and infrastructure What Success Looks Like • You establish a reusable component library and design system that significantly reduces time-to-market for new dashboard features • You deliver intuitive, lightning-fast interfaces that allow customers to extract complex insights from GPU telemetry with ease • You become a technical anchor for the team, consistently raising the bar for engineering standards and proactively mentoring peers • You successfully bridge the frontend and backend, creating a frictionless developer experience that is reliable and scalable 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Design, operate, and scale Kubernetes platform infrastructure across multiple regions with high reliability and collaboration. | 7+ years in infrastructure/platform engineering with deep Kubernetes production experience, multi-cluster and multi-region scaling, and strong Linux and networking skills. | 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 Kubernetes Platform Staff Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for owning the design, evolution, and operational reliability of our Kubernetes control plane architecture, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do Platform Architecture & Strategy • Design and evolve Kubernetes control plane architecture across regions • Define and implement multi-tenant cluster models, including shared control planes, virtual cluster approaches (e.g., vcluster, Kamaji) • Drive transition from standalone clusters to regionally managed platform models • Define standards for isolation boundaries, resource segmentation, policy enforcement Platform Ownership & Operations • Own the reliability and behavior of Kubernetes platforms in production • Participate in on-call rotation and lead incident response • Diagnose and resolve control plane instability, API server saturation, scheduling and resource contention issues • Ensure consistent lifecycle management across clusters - provisioning, upgrades, scaling Multi-Region Scaling • Design and implement strategies for regional scaling, multi-data center cluster deployments • Ensure consistent behavior and reliability across environments • Define cluster topology and failure domain strategies Networking & Data Plane Integration • Design ingress and egress architectures at cluster level and regional level • Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred) • Collaborate with network engineering on high-performance networking integration Observability & Reliability • Improve observability across control plane components, cluster health and performance • Define and implement resilience strategies aligned with platform goals • Lead root cause analysis for production incidents Cross-Team Collaboration • Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking) • Align Kubernetes platform design with underlying infrastructure capabilities Who You Are Required Qualifications • 7+ years of experience in infrastructure, platform engineering, or distributed systems • Deep experience operating Kubernetes at scale in production environments • Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred • Proven experience scaling Kubernetes across: • Multiple clusters • Multiple regions or data centers • Strong understanding of Kubernetes internals: • API server • Scheduler • Controller manager • etcd • Experience designing or evolving: • Control plane architectures • Multi-tenant cluster models Technical Depth • Strong Linux systems expertise • Deep troubleshooting ability across: • Kubernetes • Container runtime • Networking stack • Experience with CNI plugins (Cilium preferred) • Strong understanding of: • Networking and traffic patterns • Resource isolation and scheduling Preferred Qualifications • Experience with virtual cluster technologies (vcluster, Kamaji, or similar) • Experience supporting GPU workloads in Kubernetes • Familiarity with: • NUMA-aware scheduling • Topology-aware workloads • Awareness of RDMA and high-throughput networking environments • Experience with observability platforms (Prometheus, Grafana, etc.) 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 accomodations@tensorwave.com. 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.

Design, operate, and scale Kubernetes control plane architecture across regions ensuring reliability and performance. | 7+ years infrastructure/platform engineering with deep Kubernetes production experience, multi-cluster and multi-region scaling, and strong Linux systems troubleshooting. | 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 Kubernetes Platform Staff Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for owning the design, evolution, and operational reliability of our Kubernetes control plane architecture, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact. What You’ll Do Platform Architecture & Strategy • Design and evolve Kubernetes control plane architecture across regions • Define and implement multi-tenant cluster models, including shared control planes, virtual cluster approaches (e.g., vcluster, Kamaji) • Drive transition from standalone clusters to regionally managed platform models • Define standards for isolation boundaries, resource segmentation, policy enforcement Platform Ownership & Operations • Own the reliability and behavior of Kubernetes platforms in production • Participate in on-call rotation and lead incident response • Diagnose and resolve control plane instability, API server saturation, scheduling and resource contention issues • Ensure consistent lifecycle management across clusters - provisioning, upgrades, scaling Multi-Region Scaling • Design and implement strategies for regional scaling, multi-data center cluster deployments • Ensure consistent behavior and reliability across environments • Define cluster topology and failure domain strategies Networking & Data Plane Integration • Design ingress and egress architectures at cluster level and regional level • Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred) • Collaborate with network engineering on high-performance networking integration Observability & Reliability • Improve observability across control plane components, cluster health and performance • Define and implement resilience strategies aligned with platform goals • Lead root cause analysis for production incidents Cross-Team Collaboration • Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking) • Align Kubernetes platform design with underlying infrastructure capabilities Who You Are Required Qualifications • 7+ years of experience in infrastructure, platform engineering, or distributed systems • Deep experience operating Kubernetes at scale in production environments • Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred • Proven experience scaling Kubernetes across: • Multiple clusters • Multiple regions or data centers • Strong understanding of Kubernetes internals: • API server • Scheduler • Controller manager • etcd • Experience designing or evolving: • Control plane architectures • Multi-tenant cluster models Technical Depth • Strong Linux systems expertise • Deep troubleshooting ability across: • Kubernetes • Container runtime • Networking stack • Experience with CNI plugins (Cilium preferred) • Strong understanding of: • Networking and traffic patterns • Resource isolation and scheduling Preferred Qualifications • Experience with virtual cluster technologies (vcluster, Kamaji, or similar) • Experience supporting GPU workloads in Kubernetes • Familiarity with: • NUMA-aware scheduling • Topology-aware workloads • Awareness of RDMA and high-throughput networking environments • Experience with observability platforms (Prometheus, Grafana, etc.) 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 accomodations@tensorwave.com. 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.

Lead design and operation of scalable virtualization platform for AI workloads. | 7+ years experience with Linux virtualization, KVM/QEMU, networking, and automation tools. | 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 are building large-scale, high-performance infrastructure to power next-generation AI workloads. Our platform operates across multiple data centers and supports GPU-intensive environments with demanding requirements around performance, isolation, and scalability. We are looking for a Staff Infrastructure Engineer to lead the design and evolution of our virtualization platform. This role will own how we build, scale, and operate hypervisor infrastructure as we transition from traditional virtualization platforms toward a more flexible, CSP-aligned architecture based on KVM/QEMU and modern Linux primitives. This is a highly technical, hands-on role focused on solving complex systems problems at scale. What You’ll Do • Design and implement a scalable virtualization platform capable of supporting high-density compute and GPU workloads • Lead the evolution from existing platforms (e.g., Proxmox) toward KVM/QEMU-based architectures • Define standards for VM lifecycle management (provisioning, scheduling, migration), performance isolation and resource allocation, failure domains and resilience strategies • Optimize virtualization for high-performance workloads, including NUMA alignment, CPU pinning and scheduling, PCIe topology awareness, GPU passthrough and device assignment • Partner closely with networking and storage teams to integrate high-throughput, networking (e.g., SR-IOV, RDMA), distributed and local storage systems • Build and improve automation for hypervisor deployment and configuration, image pipelines, cluster scaling and lifecycle management • Troubleshoot deep system-level performance issues across compute, memory, storage, and network layers • Contribute to long-term platform architecture and infrastructure strategy Who You Are Required Qualifications • 7+ years of experience in infrastructure, systems engineering, or platform engineering • Deep experience with Linux-based virtualization, including: • KVM/QEMU • libvirt or similar tooling • Strong understanding of: • CPU scheduling and NUMA architectures • Memory management and performance tuning • Storage I/O paths and performance characteristics • Experience designing and operating virtualization platforms at scale (hundreds+ hosts) • Solid networking fundamentals, including: • Linux networking (bridges, bonding, VLANs) • High-performance networking concepts • Experience with infrastructure automation (e.g., Ansible, Terraform, or similar) • Strong troubleshooting skills across distributed systems Preferred Qualifications • Experience in cloud or CSP environments (public or private) • Familiarity with: • GPU workloads and passthrough (VFIO) • SR-IOV and advanced NIC features • Experience integrating virtualization with: • Kubernetes platforms • Bare metal provisioning systems (e.g., MAAS) • Exposure to distributed storage systems (e.g., Ceph, Weka, or similar) • Experience working in high-performance or low-latency environments 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Develop and maintain integrations, services, and tooling for infrastructure automation and orchestration across platform systems. | 5+ years software engineering or DevOps experience with strong Go/Python skills, distributed systems knowledge, and familiarity with infrastructure platforms and automation tools. | 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 are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services. We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together. We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems. This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms. This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform integrations. What You’ll Do Platform Integrations & Tooling • Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms • Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations Software Development • Write production-quality code in Go, Python, Rust (where applicable) • Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks • Ensure code is reliable, observable, maintainable Infrastructure & Automation Integration • Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD) • Enable infrastructure workflows through APIs, event-driven systems, automation hooks Cross-Team Collaboration • Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements) • Translate infrastructure capabilities into usable APIs and services • Help teams integrate their systems into platform workflows Reliability & Observability • Build logging, metrics, and tracing into services • Debug and resolve issues across distributed systems • Ensure integrations are resilient and handle failure scenarios gracefully Continuous Improvement • Identify gaps in platform integration and automation • Build tooling that reduces manual work and improves system cohesion • Contribute to standards for internal platform development Who You Are Required Qualifications • 5+ years of experience in software engineering, DevOps development, or platform engineering • Strong programming experience in: • Go and/or Python • Rust is a strong plus • Experience building: • APIs • services • system integrations • Strong understanding of: • Distributed systems concepts • Event-driven architectures • Experience working with: • Linux systems • Infrastructure platforms Preferred Qualifications • Experience integrating with: • Infrastructure platforms (compute, storage, networking) • Kubernetes environments • Familiarity with: • Message queues or pub/sub systems • CI/CD systems (GitHub Actions, ArgoCD) • Experience with automation frameworks such as: • Ansible • Experience working with third-party APIs and vendor platforms • Exposure to infrastructure at scale or CSP environments 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Develop and maintain software integrations and tooling that connect infrastructure systems to enable automation and orchestration across platforms. | Requires 5+ years software engineering or DevOps experience with strong Go/Python skills, knowledge of distributed systems, infrastructure platforms, and automation frameworks. | 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 are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services. We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together. We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems. This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms. This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform integrations. What You’ll Do Platform Integrations & Tooling • Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms • Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations Software Development • Write production-quality code in Go, Python, Rust (where applicable) • Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks • Ensure code is reliable, observable, maintainable Infrastructure & Automation Integration • Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD) • Enable infrastructure workflows through APIs, event-driven systems, automation hooks Cross-Team Collaboration • Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements) • Translate infrastructure capabilities into usable APIs and services • Help teams integrate their systems into platform workflows Reliability & Observability • Build logging, metrics, and tracing into services • Debug and resolve issues across distributed systems • Ensure integrations are resilient and handle failure scenarios gracefully Continuous Improvement • Identify gaps in platform integration and automation • Build tooling that reduces manual work and improves system cohesion • Contribute to standards for internal platform development Who You Are Required Qualifications • 5+ years of experience in software engineering, DevOps development, or platform engineering • Strong programming experience in: • Go and/or Python • Rust is a strong plus • Experience building: • APIs • services • system integrations • Strong understanding of: • Distributed systems concepts • Event-driven architectures • Experience working with: • Linux systems • Infrastructure platforms Preferred Qualifications • Experience integrating with: • Infrastructure platforms (compute, storage, networking) • Kubernetes environments • Familiarity with: • Message queues or pub/sub systems • CI/CD systems (GitHub Actions, ArgoCD) • Experience with automation frameworks such as: • Ansible • Experience working with third-party APIs and vendor platforms • Exposure to infrastructure at scale or CSP environments 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Build and maintain software integrations and tooling for infrastructure platforms enabling automation and orchestration. | 5+ years software engineering experience with Go/Python, strong distributed systems knowledge, and infrastructure platform integration skills. | 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 are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services. We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together. We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems. This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms. This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform integrations. What You’ll Do Platform Integrations & Tooling • Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms • Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations Software Development • Write production-quality code in Go, Python, Rust (where applicable) • Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks • Ensure code is reliable, observable, maintainable Infrastructure & Automation Integration • Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD) • Enable infrastructure workflows through APIs, event-driven systems, automation hooks Cross-Team Collaboration • Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements) • Translate infrastructure capabilities into usable APIs and services • Help teams integrate their systems into platform workflows Reliability & Observability • Build logging, metrics, and tracing into services • Debug and resolve issues across distributed systems • Ensure integrations are resilient and handle failure scenarios gracefully Continuous Improvement • Identify gaps in platform integration and automation • Build tooling that reduces manual work and improves system cohesion • Contribute to standards for internal platform development Who You Are Required Qualifications • 5+ years of experience in software engineering, DevOps development, or platform engineering • Strong programming experience in: • Go and/or Python • Rust is a strong plus • Experience building: • APIs • services • system integrations • Strong understanding of: • Distributed systems concepts • Event-driven architectures • Experience working with: • Linux systems • Infrastructure platforms Preferred Qualifications • Experience integrating with: • Infrastructure platforms (compute, storage, networking) • Kubernetes environments • Familiarity with: • Message queues or pub/sub systems • CI/CD systems (GitHub Actions, ArgoCD) • Experience with automation frameworks such as: • Ansible • Experience working with third-party APIs and vendor platforms • Exposure to infrastructure at scale or CSP environments 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.

Develop and maintain platform integrations and tooling to enable automation and orchestration across infrastructure systems. | 5+ years software engineering or DevOps experience with strong Go/Python skills, distributed systems knowledge, and infrastructure platform integration experience. | 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 are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment spans compute, storage, networking, Kubernetes, and internal platform services. We are developing a growing ecosystem of internal tooling and services—including messaging systems, automation platforms, and control-plane integrations—that tie our infrastructure together. We are looking for a DevOps Software Engineer to build and maintain the software layer that connects our infrastructure systems. This role focuses on developing integrations, services, and tooling that enable automation, orchestration, and communication across platforms. This is not a traditional application development role. You will work directly with infrastructure systems and DevOps engineers to build reliable, production-grade platform integrations. What You’ll Do Platform Integrations & Tooling • Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms • Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations Software Development • Write production-quality code in Go, Python, Rust (where applicable) • Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks • Ensure code is reliable, observable, maintainable Infrastructure & Automation Integration • Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD) • Enable infrastructure workflows through APIs, event-driven systems, automation hooks Cross-Team Collaboration • Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements) • Translate infrastructure capabilities into usable APIs and services • Help teams integrate their systems into platform workflows Reliability & Observability • Build logging, metrics, and tracing into services • Debug and resolve issues across distributed systems • Ensure integrations are resilient and handle failure scenarios gracefully Continuous Improvement • Identify gaps in platform integration and automation • Build tooling that reduces manual work and improves system cohesion • Contribute to standards for internal platform development Who You Are Required Qualifications • 5+ years of experience in software engineering, DevOps development, or platform engineering • Strong programming experience in: • Go and/or Python • Rust is a strong plus • Experience building: • APIs • services • system integrations • Strong understanding of: • Distributed systems concepts • Event-driven architectures • Experience working with: • Linux systems • Infrastructure platforms Preferred Qualifications • Experience integrating with: • Infrastructure platforms (compute, storage, networking) • Kubernetes environments • Familiarity with: • Message queues or pub/sub systems • CI/CD systems (GitHub Actions, ArgoCD) • Experience with automation frameworks such as: • Ansible • Experience working with third-party APIs and vendor platforms • Exposure to infrastructure at scale or CSP environments 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 accomodations@tensorwave.com. Employment Eligibility All offers of employment are contingent upon verification of identity and authorization to work in 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.