Jobs at TensorWave

Lead and scale global procurement for AI infrastructure, including GPUs, servers, networking, data center capacity, power, cooling, construction materials, software, and logistics. Own strategic relationships with AMD and OEM/ODM partners, negotiate complex supply agreements, manage supply risk and export controls, build category management and procurement governance, improve total cost of ownership, and develop the procurement organization.

Supports recruiting operations, ATS workflows, recruiting data, dashboards, reporting, process improvements, and program coordination. Maintains data quality, analyzes recruiting trends, documents processes, and coordinates recruiting projects, talent branding initiatives, events, university recruiting, and intern hiring.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Own Level 2 technical support escalations for AI infrastructure customers. Diagnose Linux hosts, GPUs, Kubernetes workloads, Slurm scheduling, storage, networking, and distributed workloads using logs and telemetry. Communicate findings to customer engineers, create runbooks and diagnostic tools, document recurring issues, coordinate hardware remediation, support account health, and participate in on-call coverage.

The Staff Infrastructure Engineer will design and implement a scalable virtualization platform for high-performance AI workloads, manage VM lifecycles, optimize virtualization for performance, troubleshoot systems, and contribute to long-term architecture.

Act as the top technical escalation for production AI/GPU workloads: debug kernel- and network-level issues, engage customers, build diagnostics and workarounds, drive post-incident RCA, and translate recurring incidents into product improvements and expanded runbooks.

As a Staff Database Engineer, you'll design and oversee the architecture, performance, and reliability of database systems, primarily PostgreSQL and MySQL, while also enhancing automation, observability, and incident response efforts.

Design and manage Kubernetes control plane architecture while ensuring platform reliability across regions. Troubleshoot incidents, scale deployments, and collaborate with teams for optimal infrastructure performance.

Owns end-to-end capacity planning for multi-site AMD GPU clusters, maintaining authoritative views of physical, logical, committed, reserved, and sellable capacity. Forecasts demand, contracted growth, renewals, and pipeline; validates deal feasibility; manages buffer and oversubscription policies; and coordinates infrastructure, supply chain, Sales, Finance, and operations decisions. Leads weekly capacity reviews, reporting, process maturity, and tooling requirements for capacity, inventory, and allocation systems.

Capture and rapidly produce short-form social video from conferences, events, and company settings. Shoot on phone or mirrorless, edit for LinkedIn/X/Instagram/YouTube Shorts, post with quick turnarounds, pitch low-lift original ideas, and maintain a consistent posting rhythm.

Operate, maintain, and scale large data-center Ethernet fabrics; respond to incidents and participate in on-call rotation; execute maintenance, upgrades, and hardware replacements; troubleshoot latency, packet loss, and connectivity; and build automation/tooling (Python/Go, Ansible, Git) to streamline operations.

The Senior SRE Engineer will design, build, and maintain resilient infrastructure systems, manage infrastructure-as-code, and write tooling in various languages.

The Executive Assistant will manage calendars and travel for the CEO and executive team, coordinate meetings, handle communications, maintain organization, and support company events.

Lead commercial deal modeling and corporate FP&A: build pricing engines and return analyses for multi-year compute contracts, maintain consolidated operating and cash models, support capital allocation and financing cases, provide rapid strategic analysis for leadership and investors, and produce investor- and counterparty-ready materials under tight timelines.

Architect and build scalable, high-performance dashboards with TypeScript and React using shadcn/ui. Implement advanced state management and real-time GPU telemetry visualizations, enforce frontend standards (accessibility, testing, documentation), integrate with backend APIs, collaborate with designers, and mentor junior engineers.

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

Lead development of a zero-touch provisioning and network automation platform for GPU datacenter fabrics. Own ZTP pipeline, intent-based config, validation/digital-twin testing, telemetry/observability, APIs, and team hiring/mentorship while contributing code, CI/CD, and on-call ownership.

The Product Marketing Lead will develop go-to-market strategies, create product messaging, conduct market analysis, and support sales tools to drive success for TensorWave's GPU cloud products.

Lead and execute TensorWave's end-to-end content strategy: set editorial agenda, author messaging, build annual and quarterly plans, respond to breaking news with same-day content, manage platform and distribution strategy, hire and grow the content team, manage budget and partners, write flagship pieces, and measure content impact on pipeline and brand.

Edit brand films, event highlights, interviews, podcast video, social clips, and explainers; color grade LOG footage; organize multi-camera shoots; build motion graphics when needed; manage project files and deliverables; take notes and revisions efficiently and meet short-turnaround deadlines.