Head Of InfrastructureFull Time, NYC / NJ Area PreferredMontauk Capital builds and backs companies at the forefront of the Electron Economy, the generational shift towards electrified, intelligent technologies reshaping industries and driving unprecedented demand for energy. Our team combines deep investing acumen with decades of operating experience to give founders the strategic clarity and hands-on support that accelerates the building of enduring companies of consequence.Co-founded by Montauk Capital, Stealth Edge AI Co is a pre-seed venture specialized in modular, metro-edge AI capabilities. By leveraging existing infrastructure for inference deployment, Edge AI provides low-latency, SLA-guaranteed performance across diverse GPU SKUs and colocation environments.
Our technology intelligently routes traffic based on demand proximity and real-world network limitations, bypassing the heavy power and infrastructure requirements of traditional hyperscalers. Currently initiating operations with pilot nodes in NYC, we are executing a city-by-city expansion strategy with plans for a broader multi-metro rollout.About the RoleWe're building the automation, orchestration, and monitoring layer that unifies disparate metro edge GPU nodes into a single software-managed compute platform. You'll own the definition, design, implementation, and execution of the hardware and infrastructure buildout, executing strategy across edge data center requirements, GPU selection, supply chain, technical implementation, operational maintenance and deployment as we scale.
You'll take the foundational groundwork and execute across the entire hardware and infrastructure side of our company, transforming our roadmap into production scale compute for AI inferencing.You'll ensure the GPU clusters deliver on customer requirements, are highly-available, and will be the hands on expert for the hardware side of our business. Most importantly, you'll turn our high-level plans into real, technical execution, and will play a key role in making supply chain decisions about infrastructure and how we deploy, scale, and support it.What You'll DoOwn GPU infrastructure design and implementation details from planning through deploymentOwn hardware selection, configuration, and deployment across early compute infrastructureHelp turn early technical groundwork into a functioning deployed systemOwn the GPU roadmap we use to entice customers and build partnershipsDeploy, operate, and tune GPU clusters for both bare-metal and internal software stackOwn resilient networking implementation from each site to the cluster, including a robust OOB network for constant monitoring and managementManage deployments at production scaleInterface with site ops on power, cooling, and connectivityBuild the automation and monitoring stack for distributed edge nodesOwn the supply chain for all infrastructure gearManage third party hardware vendors on provisioning, maintenance and break-fix supportWhat You'll BringStrong infrastructure engineering experience and systems-level technical judgmentExperience deploying or managing compute infrastructure in real-world environmentsExperience with data center, hardware, or GPU-based systems implementationExperience owning GPU provisioning, hardware selection, and systems configurationGPU scheduling and orchestration specifics: GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimizationBare-metal provisioning lifecycle: IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflowsOn-board storageObservability stack: distributed configuration and troubleshooting, plus monitoring, alerting, and tracingDeployment planning, Hardware configuration, Operational troubleshootingLinux systems depth: RHEL/Ubuntu, low-level troubleshooting, shell scriptingSecurity and operational best practices for bare metalDeployment tooling at production scaleNetworking fundamentals for inference workloads and OOB managementStartup / 0?1 DNA: You ship fast and communicate clearly.Why Join UsCategory-Defining Opportunity: Solving the AI inference bottleneck without the burden of power and infrastructure constraintsMassive Market Opportunity: AI spending projected to exceed hundreds of billions annually, 54GW of AI Inference demand expected by 2030Studio Support: Leverage Montauk Capital's resources, network, and operational expertise during critical early stagesCompetitive compensation + equity: True ownership over what you build