TensorWave

You'll own the **full software lifecycle** for TensorWave's custom BMC systems, writing software for **Axiado 3000-series BMC modules** and integrating with **AMD Universal Base Board** platforms. You'll define platform standards and collaborate cross-functionally to ensure a stable, automatable server management layer at fleet scale.

You'll support deploying and automating Kubernetes infrastructure on an **AI cloud platform**. Your work will directly improve **operational reliability** and enable faster **innovation cycles** for builders. This role offers hands-on growth into deeper DevOps and infrastructure engineering.

You'll operate large-scale **virtualization platforms** (Proxmox/KVM) supporting high-performance AI workloads across multiple data centers. Your focus will be ensuring **hypervisor environment reliability**, performance, and scalability. This role is ideal for hands-on operations engineers who thrive on troubleshooting complex infrastructure issues.

You'll **design and own database architecture** for critical infrastructure and platform services at a fast-growing AI cloud company. Your core impact is ensuring **reliability, performance, and scalability** of PostgreSQL, MySQL, and adjacent systems. This role stands out for its **engineering leadership and cross-functional partnership** opportunity.

You'll provide technical and administrative support to the on-site Senior Project Manager and construction team. You'll manage RFIs, submittals, and quality control to ensure our **GPU-rich data centers** are built to the **highest reliability standards**. Your work directly enables the **AI infrastructure** our customers depend on.

You'll oversee all phases of a major **data center construction project** as the on-site owner's representative. You'll manage the general contractor, sub-trades, budget, and schedule from groundbreaking through commissioning. This role offers **stock options** and **100% paid benefits**.

You'll architect and lead the talent acquisition strategy for a rapidly scaling AI infrastructure company. You'll build and mentor a world-class recruiting team, establish scalable processes, and partner with executive leadership. This role is instrumental in **scaling the organization** while maintaining a **high bar for technical excellence**.

You'll manage the **hardware lifecycle** for a **GPU cloud infrastructure** provider, ensuring every component is tracked and every failed part is returned. Your work ensures our **data center technicians** have exactly what they need to scale AI compute for our clients.

You'll design, provision, and optimize AWS infrastructure for **AMD GPU AI/HPC platform**. You'll work with Rust and TypeScript engineers to **reduce cloud bottlenecks** and keep infrastructure reliable and scalable. This is a hands-on role with **high ownership and impact**.

You'll lead a team of 8 Data Center Technicians ensuring **24/7 availability** and **security** of TensorWave's AI cloud infrastructure. You'll oversee **liquid cooling** and **AI-optimized racking** deployments while driving uptime, capacity planning, and compliance audits.

You'll join TensorWave's creative team to translate **complex AI infrastructure concepts** into engaging digital designs. Your work will fuel social media channels that attract the **AI developer community** and ensure brand consistency across every touchpoint. This entry-level role offers hands-on mentorship from senior creative leads at a fast-growing AI company.

You'll edit event recaps, interviews, social clips, and brand films for an **AI cloud platform**. Your core impact is finding the story arc that makes viewers watch to the end, building the **TensorWave voice** in a crowded space. You'll manage projects independently with **clean file structures** and hit tight deadlines.

You'll lead **cross-functional AI infrastructure programs** for a **high-growth startup** building an AMD-powered AI platform. You'll own the end-to-end program lifecycle from scoping to deployment, ensuring **GPU cluster projects** deliver at scale.

You'll own a portfolio of customer accounts and serve as the primary technical point of contact across the full lifecycle. You will develop tailored **success plans** aligned to customer business objectives and lead **cross-functional escalation coordination** during critical incidents. This role combines technical depth with relationship management for AI infrastructure customers.

You'll join our **talent network** for future opportunities with a **cloud platform company** focused on AI compute. By connecting, you'll learn about our culture and be considered for upcoming technical roles. This posting helps us engage top talent across engineering, infrastructure, AI/ML, and more.

You'll design and maintain **highly scalable AI infrastructure** using low-level systems programming and modern DevOps tooling. Your work will ensure platform reliability and performance at massive scale. This role combines **systems programming** in Rust/C++ with infrastructure management using Kubernetes and Terraform.

You'll own full-cycle recruiting for senior technical roles including software engineering and AI/ML. You'll partner with leadership to define hiring needs and build scalable plans. This role drives **aggressive scaling** in a **pivotal growth phase** as the company plans to double its team.

You'll design and deploy optical infrastructure for TensorWave's cloud platform. You'll ensure reliable, high-performance connectivity across large-scale data centers. This role focuses on **physical layer engineering** and **fiber optics** to support AI compute at scale.

You'll **design and operate ML infrastructure** powering large-scale training and inference on our GPU platform. Your work will **optimize performance and reliability** across distributed systems. You'll **partner closely with ML and platform teams** to enhance developer experience.

You'll design and build scalable automation systems for deploying and managing **large-scale AI network fabrics**. You will develop CI/CD pipelines for network changes and integrate **NetBox as a source of truth**. This role blends networking expertise with **software engineering and CI/CD discipline**.

You'll install, configure, and test new data center infrastructure for **TensorWave's AI operations**. Your work ensures **high reliability and performance** for critical customer workloads. This role offers opportunities to work across multiple sites and grow with a mission-driven company.

You'll join the Global Operations Center as the frontline for customer infrastructure reliability, monitoring AI compute environments at TensorWave. You'll detect issues before they impact workloads and serve as the L1 response to customer-reported problems. This role offers the chance to **build the Operations Center from the ground up** and directly **protect critical customer workloads**.

You'll be the technical backbone of the Global Operations Center, bridging frontline engineers and platform teams. You'll drive operational maturity by developing runbooks, leading **post-incident reviews**, and turning reactive firefighting into **proactive operations**. This role offers the chance to shape the reliability of a cutting-edge **GPU cloud platform**.

You'll own the design, evolution, and operational reliability of our Kubernetes control plane architecture. You'll drive scalable cluster models and multi-region strategies to empower AI compute at scale. This role offers the chance to shape **critical infrastructure** for a **high-growth AI cloud platform**.

You'll coordinate the **full recruitment lifecycle** for a fast-growing AI cloud startup. Your work will directly impact **hiring efficiency and candidate experience**. You'll partner with recruiters and hiring managers to keep the process running smoothly.

You'll design and evolve storage architectures supporting Kubernetes and AI/ML workloads at **TensorWave**, owning platforms like **Ceph** and high-performance NAS. Your core impact will be ensuring reliability and performance for GPU and distributed systems. This role offers technical leadership and mentorship in a fast-growing cloud infrastructure company.

You'll operate and maintain distributed storage platforms like **Ceph** and **high-performance NAS** for AI/ML and Kubernetes workloads. Your work ensures stable, performant storage supporting breakthrough AI compute. You'll collaborate with cross-functional teams to uphold standards for excellence and impact.

You'll lead the design and evolution of **our virtualization platform** to support high-density GPU workloads at scale. Your core impact will be transitioning from Proxmox to **KVM/QEMU-based architecture** while defining VM lifecycle, performance isolation, and resilience standards. This role stands out for its deep systems focus in a high-performance AI compute environment.

You'll define go-to-market strategies for **GPU cloud solutions** and develop compelling messaging that articulates the benefits of **AMD-powered offerings**. You'll enable the sales team with tools and content, building relationships with key customers to surface insights that **sharpen product positioning**.

You'll architect and build security across the stack for TensorWave's AI compute platform, partnering with engineering leads to harden the **GPU fabric** and **open firmware ecosystem**. Your core impact is proving architectures by writing the code that secures APIs, orchestration, and compliance automation.

You'll own end-to-end program management for data center operations across multiple sites, coordinating facilities, network, hardware, and software teams. Your core impact is ensuring **peak performance** of AMD-powered AI clusters and **zero tolerance for preventable downtime**.

You'll own the paid acquisition program for a **B2B AI cloud platform** in a player-coach role. Your core impact is **building the playbooks and infrastructure** to scale campaigns efficiently. Early-stage with lean budgets offers a unique opportunity to shape the foundation.

You'll own the full podcast production lifecycle for a B2B **AI compute platform**, from booking and prep to recording, editing, and publishing. You'll drive the editorial calendar, manage guest relationships, and collaborate with marketing teams to **extend the reach of every episode**.